Conolab Paper & Code Verification Service
AI Code, Statistical Analysis...
That Anxiety, Vetted by an
Active Journal Editor
& Experienced Research Mentor
Before You Submit.
Fearful of Retraction? Is your AI-generated code a black box? Let us resolve that anxiety with the dual perspective of a "reviewer" and a "supervisor". This is a unique verification service designed to protect your paper's credibility.
YOUR ANXIETY
Are You Facing This Anxiety Alone?
Helpful AI, advanced statistical software... but their "inner workings" are a black box. "Is it really okay to submit this?" — This anxiety grows stronger the more sincere a researcher you are.
AI Code Anxiety
Python/R code from ChatGPT or Copilot seems to run, but is the logic truly correct? You can't explain "why."
Statistical Analysis Anxiety
Which options should you have clicked in SPSS or JMP? You fear that a wrong choice—t-test, regression—could lead to "retraction."
Qualitative Analysis Anxiety
Is your transcript coding just "subjective bias"? You're afraid reviewers will criticize it as "arbitrary."
SR/MA & Citation Anxiety
Is the literature selection in an AI-generated systematic review (SR) comprehensive? Is the meta-analysis (MA) statistics valid? Do the citations even exist?
REALITY CHECK
This is Not Someone Else's Problem.
Vague anxiety is a clear "risk." Our verification track record and research reveal the harsh reality researchers face.
Of the **paper analysis code** we have verified...
72%
...were found to have some error that could affect the results.
*Based on Conolab's internal Proof of Concept (PoC) data (ongoing).
Percentage of researchers who felt "anxious" about the correctness of their own analysis.
85%
*Based on Conolab's internal survey (2025).
COMMON PITFALLS
Overlooked Pitfalls:
Common Error Cases
From simple mistakes you think "would never happen to me" to subtle AI-specific errors. These are just some of the typical problems we have actually encountered (or anticipate from experience).
Quantitative Errors
- Using ANOVA where a t-test was appropriate.
- AI code performed incorrect calculations under specific conditions.
- Distorted results due to incorrect option settings in SPSS.
- Failure to check regression assumptions (e.g., multicollinearity).
- Comparing the wrong groups in a survival curve.
Qualitative Errors
- Inconsistent coding criteria, leading to arbitrary theme extraction.
- Interpreting only data that supports the researcher's expectations (bias).
- Coding that ignores the context of the transcript.
- Opaque analysis process, making it impossible for a third party to replicate.
SR/MA & Citation Errors
- Omissions in AI-powered literature search, missing key contradictory studies.
- Inappropriate statistical model choice for meta-analysis (fixed vs. random effects).
- Insufficient assessment of heterogeneity.
- AI-generated citations that do not exist (hallucinations).
- Discrepancy between the citation and the content described in the text.
These "pitfalls" can directly lead to paper rejection or retraction.
OUR SOLUTION
Why Can Conolab Resolve This Anxiety?
The answer is our "people" and their "perspective." We are not just a statistics vendor. We are editors who "review" papers from around the world daily, and mentors who "guide" researchers. An expert will directly verify your paper with the dual perspective of a "reviewer" and a "supervisor."
Reviewer's Perspective
Active Journal Editor
Supervisor's Perspective
Experienced Research Mentor
Junya Ono, Ph.D.
Ph.D. (Medicine). Combines R&D experience at a pharmaceutical company, IRB support work, review experience as an active editor for an international academic journal, and over 13 years of research mentorship. As an expert who deeply understands researcher "anxiety," "patterns of paper rejection," and "stumbling blocks," he will thoroughly enhance your paper's credibility before submission.
Publications
100+
h-index
41
Mentorship
13 Years
Credentials
Ph.D. (Medicine)
Certified Clinical Chemist
Certified Psychologist
WHY CHOOSE US?
Why is Verification by an
"Editor/Mentor" Necessary?
Anxiety about AI code and statistical analysis. There are "walls" that colleagues, vendors, and AI tools alone cannot overcome. Discover the unique value Conolab provides.
Relying on Colleagues/Supervisors
- Can't spot errors outside their expertise.
- Too busy to dedicate sufficient time.
- Hard to give honest criticism due to relationships.
- Psychological resistance to showing "weakness."
Conolab's Advantage
- Expertise across a wide range of fields.
- Objective perspective with strict confidentiality.
- Deep insights as an editor/mentor.
- A psychologically safe environment.
Relying on Statistical Vendors
- Only perform tasks, can't explain the "why."
- Don't guarantee the validity of the method choice.
- Don't understand the paper's overall context.
- The author (you) bears ultimate responsibility.
Conolab's Advantage
- "Verification" and "explanation," not just execution.
- Judges methodological validity from an editor's view.
- Checks for consistency with the paper's narrative.
- Improves your ability to respond to reviewer comments.
Relying on AI Tools Only
- Code becomes a "black box."
- Risk of introducing errors and biases.
- May ignore statistical prerequisites.
- Difficult to apply to original or novel research.
Conolab's Advantage
- Human expertise that surpasses AI's limits.
- The perspective to "discover" errors and biases.
- Optimal method proposals tailored to your research.
- Advancing research through human-AI collaboration.
WHO WE SERVE
Recommended For
Anxiety about analytical validity and research reliability affects many researchers, regardless of their position. Our service provides particular value to the following individuals.
Graduate Students
(Master's/PhD)
First paper, using AI code, thesis defense anxiety. An external expert objectively verifies points difficult to ask supervisors.
Early-Career Researchers
(Postdoc, Asst. Prof, etc.)
Statistics outside your field, trying new methods, past rejections. Enhance the credibility of career-critical papers before submission.
Supervisors
(Professor, PI)
Concerns about managing student AI code, risk of retraction. Support overall lab quality assurance and risk management with an external eye.
Corporate R&D Staff
Reliability of internal data analysis, validity of data for patent applications. Ensure the quality of R&D critical to business decisions.
COMPARISON
Service Plan Comparison
Find the best plan for you at a glance. (※ Not displayed on mobile devices)
Please see below for details on each plan.
PRICING
Service Plan Details & Pricing
We offer three one-time purchase plans tailored to the "depth of your anxiety" and "your needs."
Lite Plan
¥120,000
(Approx. $800 USD)(Tax Incl.)
For all researchers who want
"peace of mind" first.
Services (Deliverables):
- **Quantitative Analysis Review**
(AI Code, SPSS/JMP ops, Regression, Survival Curves, ANOVA, etc.) - **Qualitative Analysis Review**
(Verification of transcript/coding process rigor) - Verification Report + Certificate
- Zoom Consulting (None)
- Advanced/Independent Verification (None)
Standard Plan
¥200,000
(Approx. $1,333 USD)(Tax Incl.)
For those who want to discuss directly
with an "Editor/Mentor" to deepen quality.
Services (Deliverables + Consultation):
- **All Lite Plan content**
(Verification + Certificate) - [+] Zoom Consulting (1 x 90 min)
Based on the report: discuss method validity, explain rationale, Q&A on code, and advice on interpreting results. - Advanced/Independent Verification (None)
Premium Plan
¥300,000+
(Approx. $2,000+ USD)(Tax Incl. / Custom Quote)
For those seeking the highest quality
assurance and complex, comprehensive verification.
Services (Comprehensive Support):
- **All Standard Plan content**
(Verification + Certificate + Consult) - [+] Advanced Analysis**
(AI/Machine Learning, Complex Models) - [+] Independent Verification**
(Replicating SPSS/JMP from scratch in R/Python) - [+] SR/MA & Citation Verification**
(AI-gen review, reference validity)
*Approximate USD prices are based on a 150 JPY/USD exchange rate and are for reference only. Actual payment will be processed in JPY.
PROCESS
How It Works
We have designed a smooth and secure process, from your initial inquiry to the final delivery of your verification certificate.
STEP 1
Inquiry & Application
Select your desired plan and contact us via the website's form or by requesting a quote.
STEP 2
Hearing & Contract
We will contact you to hear your detailed requirements. After you agree to our Terms of Service (which include confidentiality clauses) and payment is confirmed (Stripe/Invoice), the contract is official. (※If a separate NDA is required by your institution, please see the FAQ.)
STEP 3
Submit Data & Materials
You will submit your analysis code, raw data, manuscript draft, transcripts, etc., via a secure method agreed upon (e.g., enterprise cloud storage, our system, or your designated system).
STEP 4
Verification & Consulting
Our expert (Junya Ono) will personally conduct the verification. For Standard Plans and above, this includes a Zoom consultation. (Typically 5-10 business days).
STEP 5
Deliver Report & Certificate
We deliver the final report summarizing the verification results and your "Verification Certificate," completing the project.
DELIVERABLES
Deliverables: Verification Report Contents
We don't just provide a simple "Pass/Fail" judgment; we emphasize specific feedback to enhance the quality of your research. The verification report (delivered as a PDF) includes the following, depending on your plan.
Core Content (All Plans)
- Code Execution Check: Can the provided code be run without errors?
- Result Reproducibility: Are the figures, tables, and values in the manuscript reproducible from the code?
- Variable Consistency: Any contradictions between variable definitions in the code and the manuscript?
- Graph/Table Accuracy: Are axis labels, legends, and statistical values displayed appropriately?
- (For Qualitative): Consistency of the coding process, evidence backing theme extraction.
- Overall Assessment: A summary of findings and general comments from an editor/mentor perspective.
Plan-Specific & Optional Content
- Statistical Method Validity (All Plans): Is the chosen method appropriate for the research question and data?
- Error & Concern Highlighting (All Plans): Specific identification of bugs, statistical errors, or interpretation caveats.
- Improvement Suggestions (Standard+): Concrete proposals for fixes or alternative methods (detailed in Zoom consult).
- Independent Verification (Premium): Comparison and discussion of results from replicating SPSS/JMP work in R/Python.
- SR/MA & Citation Report (Premium): Assessment of literature search comprehensiveness, meta-analysis model validity, and citation accuracy.
*The content and detail of the report may vary based on the complexity of the submitted manuscript and code.
CERTIFICATE
Proof of Trust: Verification Certificate
For all plans, we issue the following "Verification Certificate of Computational Reproducibility" upon completion. This objectively demonstrates the reliability of your research. (※Content varies based on verification results).
解析再現性 検証証明書
VERIFICATION CERTIFICATE OF COMPUTATIONAL REPRODUCIBILITY
Date Issued: 202X-XX-XX
Certificate ID: VCR-2025-XXXXX
1. Verified Manuscript
- Author(s): [e.g., Taro Yamada, Hanako Sato]
- Affiliation: [e.g., XX University Graduate School]
- Manuscript Title: [Title of the manuscript here]
- Manuscript ID / Journal: [e.g., SCIREP-2025-12345 / Scientific Reports]
2. Scope of Verification
Conolab Inc. hereby certifies that it has verified the following items regarding the reproducibility of the data analysis process for the above manuscript, based on the materials provided by the author(s).
A. Materials Verified:
- [X] Analysis Code (Language: [e.g., Python 3.10, R 4.3])
- [X] Raw Dataset (Format: [e.g., CSV, Excel])
- [ ] AI Generation Prompts (AI Used: [e.g., ChatGPT 4.0])
B. Items Verified:
- [X] Code Executability
- [X] Result Reproducibility (Target: [e.g., Figure 1, Table 1])
- [ ] Statistical Method Validity (※Optional)
3. Result
As a result of the above verification, based on the submitted materials, we have confirmed that the main analytical results of this manuscript are reproducible.
We hereby certify that the key analytical results presented in the above manuscript are reproducible using the computational methods and data provided by the author(s).
Disclaimer:
- This certificate attests to reproducibility using the specific materials provided by the author(s).
- This certificate does not guarantee the validity of the study design, the legitimacy of the conclusions, the novelty of the research, or compliance with research ethics.
- The data collection process and the appropriateness of AI prompts (if not included in the scope) are outside the scope of this verification.
Conolab Inc.
[Signature]
Junya Ono, Ph.D.
Lead Verifier
OUR VISION
To the Future of Research Integrity: Our Goal
In an era where AI is deeply integrated into the research process, ensuring the "reliability" and "reproducibility" of papers is an urgent challenge for the entire academic community. Through this verification service, we aim not only to resolve individual researcher anxiety but also to realize a healthier, more transparent research ecosystem.
Our ultimate goal, from a research integrity perspective, is for all academic journals to standardize third-party analysis verification as a requirement for submission. We envision a future where adding a credit line like the one below in the acknowledgments or methods section of a paper becomes commonplace.
Statistical verification was performed by Conolab Inc. (Certificate #VCR-...).
Using this service is also your own commitment to a future of more reliable research.
TESTIMONIALS
Testimonials
We have received words of trust from researchers in various positions. (※Testimonials are personal opinions).
I was using ChatGPT-generated code for my master's thesis analysis, but I couldn't sleep, wondering if it was really correct and what I would do if questioned at my defense. Having Conolab verify it, discovering and fixing several critical errors, gave me the confidence to face my defense. The certificate was also a great comfort.
Statistics isn't my specialty, and I was never confident in my choice of methods. With the consulting plan, I received sharp advice from an editor's perspective and even suggestions for improving my paper's overall narrative. It was more valuable than just verification; it was a huge learning experience that will help with my next grant application.
I can't stop my students from using AI, but managing their code quality was a nightmare. The risk of retraction falls on the supervisor. Having Conolab provide an external check ensures the quality of our lab's work, and most of all, it has significantly reduced my mental burden.
It's easy to write "statistical method is questionable" in a review, but it's unrealistic for volunteer reviewers to verify the code. If a certificate from an expert like Conolab was provided before submission, the review process would be much smoother and more constructive.
Recent doctoral theses increasingly use advanced methods outside my expertise, like AI and machine learning. It's always a challenge to assess their validity during defense. A third-party verification certificate would allow examiners to focus on the content with peace of mind. It's crucial for assuring the quality of the degree.
I used statistical software for the first time for my undergraduate thesis and was worried I was doing it wrong. With the Lite Plan, they checked the basics, and just being told "this is correct" gave me the confidence to present. The certificate was also helpful for reporting to my supervisor.
PAYMENT
Payment Methods
We offer two payment methods to meet all needs, from graduate students (private payment) to professors (public funds).
Private Payment
For those who want to "resolve anxiety now," fast payment is available. Please review your desired plan (Lite or Standard) and proceed using the "Buy with Credit Card" button.
- Credit Card (Stripe)
- Bank Transfer (Personal)
Public Funds (Institutional)
We fully support accounting processes for universities and organizations (Grants-in-Aid, commissioned research funds, etc.).
- Bank Transfer (Institutional)
- Issuing Quote, Delivery Note, & Invoice
- Flexible formatting and dating
FOR ORGANIZATIONS
For University (URA) & Corporate Staff
Are you looking to resolve organizational resource shortages or set up comprehensive contracts for a lab, rather than individual verification?
Conolab also offers B2B services to solve university and organizational challenges, including URA support and RDM system development.
FAQ
Frequently Asked Questions (Please Read)
No, we absolutely do not "guarantee" paper acceptance or publication.
This service performs "verification" from a statistical and ethical standpoint based on the materials provided. It does not determine the final scientific value of the research or influence a journal's editorial decision.
We prioritize academic ethics. In the event that a paper using this service is submitted to a **specific journal where I (Junya Ono) serve as an editor (e.g., PLOS ONE)**, I will immediately declare a COI to the editorial office and recuse myself from handling the paper. You can be assured that I will never personally review your paper.
Yes, this is our top priority. When you sign up, you agree to our Terms of Service, which include confidentiality clauses for your information. This establishes a basic confidentiality agreement. All communication and file transfers are conducted using secure, enterprise-grade tools (cloud storage, our system, your designated system, Chatwork, or other agreed-upon methods). All data is responsibly destroyed after project completion.
If your institution's regulations (e.g., for public funds) require a separately signed NDA, please review the standard template below (for confirmation) or we can use your institution's format. Please feel free to consult us.
It depends on the plan and complexity, but we typically deliver the initial report within 5-10 business days after the contract is finalized and data is received. An "Express Option" is available if you are in a hurry; please inquire.
Yes. The "Standard Plan" and "Premium Plan" include one re-review for minor revisions. For the "Lite Plan," this is available as a separate add-on fee.
A Partner to Turn Your Anxiety into Confidence.
Before you hit that "submit" button, why not get one final "insurance policy"?
Feel free to contact us to discuss which plan best fits your anxieties.