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Additional file 1: Tables S1-S3. of Effects of physical activity on colorectal cancer risk among family history and body mass index subgroups: a systematic review and meta-analysis

2018· review· en· W2890460503 on OpenAlexaboutno aff
Eileen Shaw, Megan S. Farris, Chelsea R. Stone, Jeroen W. G. Derksen, Rhys Johnson, Robert J. Hilsden, Christine M. Friedenreich, Darren R. Brenner

Bibliographic record

VenueFigshare · 2018
Typereview
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisColorectal cancerMedicineBody mass indexFamily historySystematic reviewOncologyCancerMEDLINEInternal medicineBiology

Abstract

fetched live from OpenAlex

PubMed search strategy for systematic review, Newcastle-Ottawa Scale for study quality assessment, and sensitivity analysis for individual study removal. (DOCX 21 kb)

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)0.005
metaresearch head score (Gemma)0.066
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.839
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.066
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0100.016
Science and technology studies0.0010.001
Scholarly communication0.0030.005
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8390.056

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 head0.059
GPT teacher head0.333
Teacher spread0.274 · 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.

Study designMeta-analysis
Domainnot available
GenreDataset

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

Citations0
Published2018
Admission routes1
Has abstractyes

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