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Record W3089357886 · doi:10.24095/hpcdp.34.2/3.12f

Communication courte - Le rôle de l'insuline d'origine animale dans le traitement du diabète de type 1 et sa disponibilité

2014· article· fr· W3089357886 on OpenAlexaffvenueabout
AV Klein, Emma Taylor, Christine Légaré, Dieu-Thuy Vu, Emma Griffiths

Bibliographic record

VenueMaladies chroniques et blessures au Canada · 2014
Typearticle
Languagefr
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsHealth Canada
Fundersnot available
KeywordsMedicineGynecologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

En raison d'un certain nombre de facteurs, on traite désormais davantage le diabète insulinodépendant au moyen de préparations d'insuline recombinante (biosynthétique) qu'au moyen d'insuline d'origine bovine et porcine. Cependant, certaines personnes atteintes du diabète de type 1 parviennent à mieux prendre leur diabète en charge à l'aide d'insuline d'origine animale. Malgré la disponibilité de plus en plus réduite de l'insuline d'origine animale et le déclin de sa production, on peut encore s'en procurer sur le marché canadien, en particulier l'insuline porcine. Cette communication décrit les mesures prises par Santé Canada relativement à la disponibilité de l'insuline d'origine animale.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.011
GPT teacher head0.268
Teacher spread0.258 · 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
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
Published2014
Admission routes3
Has abstractyes

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