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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 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)0.414
metaresearch head score (Gemma)0.131
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.4140.131
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.490
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; both teacher heads agree on what is shown here.

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
Published2006
Admission routes1
Has abstractyes

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