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Prévention en médecine de premier recours : établissement d'un protocole de prévention pour le dossier médical

2007· dissertation· fr· W1534388592 on OpenAlexaboutno aff
Isabelle Jacot Sadowski

Bibliographic record

VenueArchive ouverte UNIGE (University of Geneva) · 2007
Typedissertation
Languagefr
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La prévention est une activité reconnue efficace en médecine de premier recours ; elle regroupe les conseils, les dépistages ainsi que les vaccins et la chimioprophylaxie. Les buts de ce travail sont de faire une revue des différentes recommandations internationales en matière de prévention et d'établir un protocole adapté à l'usage des médecins praticiens en Suisse. Le protocole de prévention se présente sous la forme d'une grille que le médecin peut compléter lors des consultations. Il comporte principalement des interventions avec un degré de recommandation A ou B selon les groupes de travail américain ou canadien, à savoir des interventions pour lesquelles on dispose de preuves de qualité suffisante quant à leur efficacité. Ce travail reprend chaque intervention proposée dans le protocole en présentant l'épidémiologie, les méthodes de dépistage ou de conseil et leur efficacité ainsi que les différentes recommandations avec si possible des données suisses.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.361
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.360
Teacher spread0.284 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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