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Record W2520892028

A critical interpretive synthesis of evidence and values in recommendations to disinvest from population Screening

2016· article· en· W2520892028 on OpenAlexfundno aff
J. Little, Stuart G. Nicholls, Tammy Clifford, Lindsey Sikora, Pearl Atwere, Richard Ashcroft, Ainsley J. Newson, Beth K. Potter, Jamie Brehaut, Iain Graham, Mike Wilson, John Lavis, J. J. Grimshaw, Marcel Verweij, Angus Dawson, Doug Coyle, Andreas Kemper, Jeffery R. Botkin, Lesley Dunfield

Bibliographic record

VenueThe Sydney eScholarship Repository (The University of Sydney) · 2016
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
FundersWageningen University and ResearchCanadian Institutes of Health ResearchOttawa Hospital Research InstituteMcMaster UniversityUniversity of SydneyDuke Clinical Research InstituteQueen Mary University of LondonUniversity of Ottawa
KeywordsPopulationPsychologyMedicineEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

• the interplay between values and evidence in screening policy • methods of an ongoing systematic review • examples of disinvestment decisions

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.146
GPT teacher head0.398
Teacher spread0.252 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2016
Admission routes1
Has abstractyes

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