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Record W4366965499 · doi:10.1684/ipe.2022.2436

Innovations et modifications clés des descriptions cliniques et exigences pour le diagnostic du chapitre sur les troubles mentaux, comportementaux et neurodéveloppementaux de la CIM-11 de l’OMS

2022· article· fr· W4366965499 on OpenAlex
Cary S. Kogan, Jean Grenier, Sabrina Paterniti, Tahilia J. Rebello, Brigitte Khoury, Anne M. Lovell, Anne‐Claire Stona, Geoffrey M. Reed

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueL information psychiatrique · 2022
Typearticle
Languagefr
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En mai 2019, l'Assemble mondiale de la sant de l'Organisation mondiale de la sant (OMS) a approuv la Classification internationale des maladies et des problmes de sant connexes (CIM-11) pour les statistiques de mortalit et de morbidit.La version statistique de la CIM-11 est entre en vigueur le 1 er janvier 2022.Cet article dcrit le processus de rvision de la CIM-11 entrepris par l'OMS dans l'laboration d'une version pour spcialistes de la sant mentale, due pour publication en 2022.Cet effort sans prcdent a impliqu des experts, des organisations et membres du public de diverses rgions du monde.Nous dcrivons galement les essais sur le terrain a travers l'internet et en clinique qui ont t utiliss pour vrifier la validit, l'utilit clinique, la fiabilit et l'acceptabilit au sens large de la classification avant sa publication.L'accent est mis sur les aspects du dveloppement de la CIM-11 qui ont fait appel des parties prenantes francophones.Enfin, le plan de formation des cliniciens et de mise en oeuvre de la CIM-11 est discut.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.001
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 head0.075
GPT teacher head0.389
Teacher spread0.314 · 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