MétaCan
Menu
Back to cohort
Record W2801515998 · doi:10.1093/pch/pxy029

La prise de décision entourant l’alimentation par sonde de gastrostomie chez les enfants ayant une atteinte neurologique : engager un dialogue efficace avec les familles

2018· article· fr· W2801515998 on OpenAlexaff
Sanjay Mahant, Eyal Cohen‬‏, Katherine Nelson, Peter Rosenbaum

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languagefr
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsHumanitiesPolitical scienceGynecologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

Les enfants ayant une atteinte neurologique ne sont pas tous en mesure de s’alimenter de manière sécuritaire et suffisante par voie orale pour maintenir un état nutritionnel convenable. L’alimentation par sonde de gastrostomie (ASGS) est une intervention importante et souvent essentielle dans une telle situation. Cependant, bien des parents et des familles ont du mal à prendre la décision de passer à ce type d’alimentation. Le présent point de pratique aborde les raisons courantes qui expliquent ces conflits décisionnels chez les parents et traite des principaux aspects d’une vie sous ASGS. On y présente également un cadre de prise de décision partagée et l’approche de la Classification internationale du fonctionnement, du handicap et de la santé (CIF). On termine par des recommandations pratiques aux cliniciens afin de faire participer les familles au processus décisionnel menant à cette intervention qui change la vie.

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)0.005
metaresearch head score (Gemma)0.018
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: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.300
Teacher spread0.282 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuePaediatrics & Child HealthSame topicChild Nutrition and Feeding IssuesFrench-language works237,207