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Record W4221113394 · doi:10.3166/pson-2022-0179

Quelle est la place des professionnels de santé dans l’adhésion aux programmes thérapeutiques en ligne de l’insomnie ? Éléments de réflexion issus de l’étude Sleep-4-All-1 et protocole de l’étude Sleep-4-All-2.0

2022· article· fr· W4221113394 on OpenAlexaffabout
Diane Boinon, Cécile Charles, L. Fasse, Jonathan Journiac, Gloria Pallubicki, Estelle Guerdoux, Grégory Ninot, Audrey Couillet, Jean-Sébastien Provost, Josée Savard, S. Dauchy

Bibliographic record

VenuePsycho-Oncologie · 2022
Typearticle
Languagefr
FieldPsychology
TopicSleep and related disorders
Canadian institutionsHôtel-Dieu de Québec
Fundersnot available
KeywordsMedicineGynecologyHumanitiesArt

Abstract

fetched live from OpenAlex

La thérapie cognitivocomportementale de l’insomnie (TCC-I) demeure difficile d’accès pour les patients atteints de cancer. Sa digitalisation semble une solution prometteuse pour bénéficier au plus grand nombre. La faisabilité d’un programme TCC-I québécois a été démontrée en France, tout en révélant les limites d’un dispositif suivi en autonomie et à distance. L’enjeu reste de mieux comprendre le rôle des professionnels de santé dans l’accompagnement des patients dans ce type de programme. C’est l’objectif de l’étude Sleep-4-All-2.0 dont nous présenterons ici le protocole.

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 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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0030.004
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 head0.033
GPT teacher head0.402
Teacher spread0.369 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2022
Admission routes2
Has abstractyes

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