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Record W4206799358 · doi:10.1037/pas0001099

The clinician-administered PTSD Scale for DSM-5 (CAPS-5) structured interview for PTSD: A French language validation study.

2022· article· en· W4206799358 on OpenAlexaff
Marjolaine Rivest‐Beauregard, Alain Brunet, Louise Gaston, Samantha Al Joboory, Marion Trousselard, Jean-Pierre Simson, Pascale Amara, Nadia Sourdril, C. Gandubert, Coraline Hingray, Samy Dallel, Jacques Guinard, Daniel Saumier, Sami Richa, Wissam El‐Hage

Bibliographic record

VenuePsychological Assessment · 2022
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversité de SherbrookeObject Research Systems (Canada)McGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsPsychologyPsycINFOClinical psychologyIntraclass correlationConvergent validityPsychometricsTest validityReliability (semiconductor)Posttraumatic stressPsychiatryInternal consistencyMEDLINE

Abstract

fetched live from OpenAlex

= .82): the PCL-5. The test-retest reliability was excellent, with Cohen's κ = 1.00 and the intraclass coefficient (ICC) = .95. However, no latent factor structure model was deemed a strong fit to the data. Overall, the reliability and validity of the French CAPS-5 and are consistent with those of the original CAPS-5. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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)0.009
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 score0.011
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.228
GPT teacher head0.532
Teacher spread0.304 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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