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Record W2980470208 · doi:10.1249/mss.0000000000002117

American College of Sports Medicine Roundtable Report on Physical Activity, Sedentary Behavior, and Cancer Prevention and Control

2019· review· en· W2980470208 on OpenAlexaff
Alpa V. Patel, Christine M. Friedenreich, Steven C. Moore, Sandra C. Hayes, Julie K. Silver, Kristin L. Campbell, Kerri M. Winters‐Stone, Lynn H. Gerber, Stephanie M. George, Janet E. Fulton, Crystal S. Denlinger, Gerwyn Morris, Trisha F. Hue, Kathryn H. Schmitz, Charles E. Matthews

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2019
Typereview
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of British ColumbiaAlberta Health
FundersNational Institutes of HealthCancer Council QueenslandKoninklijk Nederlands Genootschap voor FysiotherapieAmerican Academy of Physical Medicine and Rehabilitation
KeywordsMedicineCancer preventionBreast cancerCancerEndometrial cancerPhysical activityPreventive healthcareColorectal cancerSports medicinePhysical fitnessPhysical therapyGerontologyOncologyInternal medicinePublic healthPathology

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.010
metaresearch head score (Gemma)0.017
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: Review · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0030.005
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0260.014

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 head0.054
GPT teacher head0.410
Teacher spread0.356 · 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
GenreReview

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

Citations858
Published2019
Admission routes1
Has abstractyes

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