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Record W2068613126 · doi:10.1002/ebch.354

Two commentaries on ‘Family‐based programmes for preventing smoking by children and adolescents’

2009· article· en· W2068613126 on OpenAlexaff
Naomi Priest, Elizabeth Waters, Cameron D. Norman, Allan Best

Bibliographic record

VenueEvidence-Based Child Health A Cochrane Review Journal · 2009
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsVancouver Coastal Health Research InstituteUniversity of British ColumbiaVancouver Coastal HealthUniversity of TorontoPublic Health Ontario
Fundersnot available
KeywordsCochrane collaborationSystematic reviewMedicineFamily medicineMEDLINEPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract These are commentaries on a Cochrane review, published in this issue of EBCH, first published as: Thomas RE, Baker PRA, Lorenzetti D. Family‐based programmes for preventing smoking by children and adolescents. Cochrane Database of Systematic Reviews 2007, Issue 1. Art. No.: CD004493. DOI: 10.1002/14 651 858.CD004493.pub2. Further information for this Cochrane review is available in this issue of EBCH in the accompanying Summary article. Copyright © 2009 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd. The Cochrane Collaboration

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)0.112
metaresearch head score (Gemma)0.504
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.112
Threshold uncertainty score0.593

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1120.504
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0040.012
Bibliometrics0.0060.007
Science and technology studies0.0060.006
Scholarly communication0.0060.011
Open science0.0110.008
Research integrity0.0490.047
Insufficient payload (model declined to judge)0.0250.009

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 head0.435
Teacher spread0.376 · 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
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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