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Record W7056057768

Développement et maintien de l'obsession compulsion

2020· other· fr· W7056057768 on OpenAlexfundno aff

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2020
Typeother
Languagefr
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsnot available
FundersUniversité Laval
KeywordsDerogationPoison controlAlexithymiaScapegoat
DOInot available

Abstract

fetched live from OpenAlex

Le but de l’étude est l’examen des facteurs potentiels de développement et de maintien du Trouble Obsessionnel Compulsif en comparant un groupe à Tendance Obsessionnelle Modérée (TOM) avec un groupe à Tendance Obsessionnelle Élevée (TOE). La formation des groupes s’effectue à partir des scores des participants à l’Inventaire de Padova. Ils sont ensuite reclassés selon leurs scores aux sous-échelles du Yale-Brown. Les résultats indiquent que les participants du groupe TOE ont rapporté un plus grand nombre de facteurs expliquant le développement et le maintien de leur pensée ou de leur comportement que les participants du groupe TOM. De façon générale, les résultats suggèrent que les participants du groupe TOE anticipent davantage de conséquences négatives et évaluent plus sévèrement la conséquence négative ultime pouvant résulter de leur pensée ou de leur comportement comparativement au groupe TOM. De plus, ils perçoivent que leur pensée ou leur comportement est plus raisonnable que les participants du groupe TOM. Les résultats sont discutés en fonction des implications diagnostiques et cliniques.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.015
GPT teacher head0.219
Teacher spread0.204 · 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 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
Published2020
Admission routes1
Has abstractyes

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