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Introduction

2004· article· en· W2055705583 on OpenAlexaff
Howard S. An, Paul A. Anderson, Victor M. Haughton, James C. Iatridis, James D. Kang, Jeffrey C. Lotz, Raghu N. Natarajan, Theodore R. Oegema, Peter J. Roughley, Lori A. Setton, Jill Urban, Tapio Videman, Gunnar Andersson, James N. Weinstein

Bibliographic record

VenueSpine · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsMcGill UniversityUniversity of Alberta
Fundersnot available
KeywordsMedicineGerontologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

An, Howard S. MD; Anderson, Paul A. MD; Haughton, Victor M. MD; Iatridis, James C. MD; Kang, James D. MD; Lotz, Jeffrey C. PhD; Natarajan, Raghu N. MD; Oegema, Theodore R. Jr MD; Roughley, Peter MD; Setton, Lori A. PhD; Urban, Jill P. PhD; Videman, Tapio MD, Dr. M.Sc; Andersson, Gunnar B.J. MD, PhD; Weinstein, James N. DO Author Information

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)0.004
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.606
Threshold uncertainty score0.864

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.3940.193

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 head0.035
GPT teacher head0.257
Teacher spread0.221 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations165
Published2004
Admission routes1
Has abstractyes

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