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Record W2762743736

[Medical group practice in primary care in six European countries, and the Canadian provinces of Ontario and Quebec: what are the lessons for France ?].

2009· article· en· W2762743736 on OpenAlexaboutno aff
Yann Bourgueil, Anna Marek, Julien Mousquès

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsnot available
Fundersnot available
KeywordsRemunerationMultidisciplinary approachPoliticsPrimary carePrimary health careHealth careFamily medicineMedical practicePublic healthEconomic growthNorwegianPolitical scienceMedicineNursingPublic administrationBusinessLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Medical group practice in primary care remains comparatively undeveloped in France compared to other countries. In Finland and Sweden, doctors are grouped in local public structures with multidisciplinary teams, whereas in Canada, the Netherlands and the United Kingdom, they are organized in private units run by independent health professionals on a contractual basis. Among the factors explaining this trend, mention should in particular be made of a genuine political determination to place primary care at the heart of the health system and a definite change in health care supply and demand. This grouping often goes hand in hand with new rules and practices: voluntary registration procedures for patients with a doctor in group practice, greater cooperation between health professionals, changes in doctors' remuneration and new contracts between groups and health authorities. Certain signs are already visible in France, doubtless presaging an acceleration in the trend towards medical group practice.

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)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.053
GPT teacher head0.346
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations24
Published2009
Admission routes1
Has abstractyes

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