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Record W2928434645 · doi:10.1186/s13229-018-0249-x

Rigor in science and science reporting: updated guidelines for submissions to Molecular Autism

2019· editorial· en· W2928434645 on OpenAlexaff
Joseph D. Buxbaum, Simon Baron‐Cohen, Evdokia Anagnostou, Chris Ashwin, Catalina Betancur, Bhismadev Chakrabarti, Jacqueline N. Crawley, Rosa A. Hoekstra, Patrick R. Hof, Meng‐Chuan Lai, Michael Lombardo, Cynthia M. Schumann

Bibliographic record

VenueMolecular Autism · 2019
Typeeditorial
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsHospital for Sick ChildrenCentre for Addiction and Mental HealthHolland Bloorview Kids Rehabilitation HospitalUniversity of Toronto
Fundersnot available
KeywordsAutismRigourAutism spectrum disorderOpen scienceNeuropsychologyPsychologyMEDLINEData scienceMedicineMedical educationEngineering ethicsPsychiatryComputer sciencePolitical scienceCognitionEngineeringEpistemologyPhysicsPhilosophy

Abstract

fetched live from OpenAlex

There was some controversial press reporting of an article published in Molecular Autism by Anwar et al. In addition, at least two organizations dedicated to scientific accuracy in reporting have commented on this article, including www.sciencemediacentre.org and www.healthnewsreview.org. While the authors expressed some of the caveats of the study in their article, the subsequent reporting in the press and non-specialist community omitted critical caveats and we feel compelled to alter our guidelines to better address such issues.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.336
metaresearch head score (Gemma)0.680
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.664
Threshold uncertainty score0.819

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3360.680
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0170.013
Science and technology studies0.0090.014
Scholarly communication0.0320.013
Open science0.0150.008
Research integrity0.0410.048
Insufficient payload (model declined to judge)0.0150.025

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.263
GPT teacher head0.482
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2019
Admission routes1
Has abstractyes

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