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Evaluation of gender differences in physiology: an introduction

2001· editorial· en· W2002671690 on OpenAlexaffabout
Mark A. Tarnopolsky, Wim H. M. Saris

Bibliographic record

VenueCurrent Opinion in Clinical Nutrition & Metabolic Care · 2001
Typeeditorial
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsKinesiologyNeurologyHealth scienceMedicineMedical schoolSports medicineFamily medicineGerontologyMedical educationPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

aDepartment of Medicine (Neurology and Neurological Rehabilitation) and Kinesiology, McMaster University Medical Center, Hamilton, Ontario, Canada and bNutrition and Toxicology Research Institute Maastricht (NUTRIM), Medical and Health Science School, University of Maastricht, The Netherlands Correspondence to Dr M.A. Tarnopolsky, Department of Medicine, McMaster University Medical Center, Room 4U4 Neurology, 1200 Main St. W., Hamilton, Ontario, Canada L8N 3Z5. Tel: +1 905 521 2100 (75226); fax: +1 905 521 2656; e-mail: [email protected]

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.001
Science and technology studies0.0010.004
Scholarly communication0.0030.005
Open science0.0020.001
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0030.002

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 head0.224
GPT teacher head0.488
Teacher spread0.264 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
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

Citations22
Published2001
Admission routes2
Has abstractyes

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