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Record W2145359996 · doi:10.1136/jech.2005.039537

Emerging issues in public health information

2006· article· en· W2145359996 on OpenAlexaff
Bernard C. K. Choi

Bibliographic record

VenueJournal of Epidemiology & Community Health · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSurvey Methodology and Nonresponse
Canadian institutionsUniversity of OttawaUniversity of TorontoPublic Health Agency of Canada
Fundersnot available
KeywordsLandlinePopularityMedicineConfidentialityPublic healthInternet privacyInterviewPublic health surveillancePublic relationsEnvironmental healthPhoneComputer securityNursingPolitical scienceComputer science

Abstract

fetched live from OpenAlex

not counted.In reality the provision and delivery of health care coincides with consumption and cannot be separated, in particular in emergency contexts.Procedures and treatments cannot be stored like products of the manufacturing or drug industries; it is rather a matter of oversupply or undersupply of facilities and personnel in relation to health care needs or demands.It follows that the subjects of cost effectiveness evaluation as conceptualised in the book mainly are elective procedures.The effects of hospital teaching status on the outcome of acute myocardial infarction have been shown to be large.The authors use the classic assumptions of advantages of scale economies and scope economies omitting the recognised fact that there are diseconomies of scale in hospitals.2 The evi- dence on the effects of the hospital teaching status and scale on outcomes compared with costs would deserve some comments.It is possible that the economic evaluation would appeal a broader audience if its examples extended behind ''whether drugs or surgery are the most cost-effective ways of treating angina''.

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)0.078
metaresearch head score (Gemma)0.240
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: Review · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0780.240
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.019
Science and technology studies0.0040.013
Scholarly communication0.0240.041
Open science0.0060.008
Research integrity0.0230.020
Insufficient payload (model declined to judge)0.0870.021

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 head0.490
GPT teacher head0.562
Teacher spread0.072 · 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
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

Citations1
Published2006
Admission routes1
Has abstractyes

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