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Check Claims Before You Publish

See how your reported results read as versioned evidence records — linked to experiments and limitations.Know what the science actually supports before you trust the answer.

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     Quick Explanation



    Rigor audit status (based only on your prompt)

    I can’t yet assess “Hakan Leblebicioglu’s best papers and rigor” because no list of papers, no CV/publication record, and no author-disambiguated identity was provided; the only external record in your input shows 0 OpenAlex matches.

    A rigorous audit needs the actual paper set (DOIs/titles), methods, data availability, and conflict-of-interest statements to evaluate reproducibility and bias sources.





     Long Explanation



    Author Review (Rigor Audit): “Hakan Leblebicioglu best papers and rigor audit”

    Date context: 2026-03-27. Evidence policy: I will only evaluate claims supported by the information you provided; where the needed inputs are missing, I will explicitly mark that as unknown.

    1) What I can verify from your prompt (raw inputs)

    • Author record lookup (OpenAlex): your prompt contains an “OpenAlex Author Information” object with top_author: None and matches: [].
    • No publication list was provided: no DOIs/titles/years/methods/data-availability statements are included in the prompt.

    2) Visual check: available author matches

    Because matches were not found in the supplied JSON, any “best papers” list would be unverified without further searching.

    3) What a defensible “rigor audit” requires (and why your prompt lacks it)

    • Construct the candidate set of publications (ideally via DOI-verified identity resolution) rather than relying on name-only matching.
    • Extract methods and analysis details that determine reproducibility: randomization/blinding, outcome definitions, statistical analysis plans, and whether code/data are available.
    • Evaluate selective reporting / bias risk—the literature shows that false/unstable findings are common and that confidence should be conditional on study quality and transparency.

    4) Rigor audit—what I cannot responsibly conclude yet

    • “Best papers” ranking: I cannot identify which papers are “best” because no DOIs/titles/impact context were provided.
    • Reproducibility quality: I cannot audit whether experiments were reproducible because no methods/analysis/code/data-availability were provided.
    • Potential conflicts of interest: I cannot check COI statements without the underlying papers.
    • Citation metrics: while citation analysis is relevant, it requires bibliographic retrieval; your prompt did not include author-specific citation counts.

    5) Fast path to a real audit (what you can provide)

    To produce a rigorous, evidence-based audit, paste any one of the following:

    1. 5–20 DOIs you believe are “best,” plus the target identity (affiliation, ORCID if known).
    2. Or paste a CV/publication list (titles + years), and I will request/compute what’s missing (e.g., DOI resolution) in an agent run.

    Once I have the papers, I will: extract study design, sample sizes, outcome definitions, statistical approach, data/code availability, and then synthesize a rigor risk profile.

    Run an AI Bioinformatics/Science agent to finish the job

    Your prompt lacks the actual paper set; the agent can retrieve the author’s publications (identity resolution), extract methods/data-availability from full text, and then compute a rigorous “rigor audit” evidence profile.



    Feedback:    

    Updated: March 27, 2026

     BGPT Author Review



    Scientific Quality

    20%

    Not assessable from provided information. No paper list, no DOIs, no methods, no data-availability, no COI statements, and OpenAlex identity matching returned zero matches in the supplied prompt; any scoring would be guesswork.



    Communication Quality

    30%

    Not assessable: no writing samples, abstracts, reviews, or authored outputs were provided in the prompt.



    Author Novelty

    10%

    Not assessable: novelty depends on specific work/claims, but no papers or topics were provided.



    Scientific Rigor

    10%

    Not assessable: rigor requires auditing experimental design, statistics, transparency, and replication—none of which are available from the prompt.

     Analysis Wizard



    It would retrieve DOI-resolved full-text for the author, extract methods/statistics/data-availability metadata, then compute a per-paper rigor-risk table and cross-paper reliability heatmap from extracted fields.



     Hypothesis Graveyard



    “Best papers” can be identified reliably from citations alone without paper-level verification—this fails when bias/false-positive dynamics and reporting heterogeneity are present.


    “Rigor” can be judged from abstracts—this collapses because critical reproducibility details (randomization, outcome definitions, statistical plan, and data availability) are often absent from abstracts.

     Science Movie



    Make a narrated HD Science movie for this answer ($32 per minute)




     Discussion


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