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Record W2109203298 · doi:10.1136/bmj.330.7496.895

Reader's guide to critical appraisal of cohort studies: 1. Role and design

2005· review· en· W2109203298 on OpenAlexafffund
Paula A. Rochon, Jerry H. Gurwitz, Kathy Sykora, Muhammad Mamdani, David L. Streiner, Susan Garfinkel, Sharon‐Lise T. Normand, M Geoffrey

Bibliographic record

VenueBMJ · 2005
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of TorontoInstitute for Clinical Evaluative Sciences
FundersCanadian Institutes of Health Research
KeywordsCritical appraisalCohortCohort studyMedicinePsychologyAlternative medicinePathology

Abstract

fetched live from OpenAlex

Cohort studies can provide valuable information unavailable from randomised trials, but readers need to be alert to possible flaws

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)0.100
metaresearch head score (Gemma)0.458
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.900
Threshold uncertainty score0.529

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1000.458
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0090.006
Bibliometrics0.0200.012
Science and technology studies0.0020.005
Scholarly communication0.0060.006
Open science0.0100.004
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0710.058

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 head0.158
GPT teacher head0.512
Teacher spread0.354 · 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 designNot applicable
DomainMethods
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

Citations185
Published2005
Admission routes2
Has abstractyes

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