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Record W2092156518 · doi:10.1080/15402002.2013.845780

Dissemination of an Internet-Based Treatment for Chronic Insomnia Into Primary Care

2014· article· en· W2092156518 on OpenAlex
Julie Beaulac, Norah Vincent, Kate Walsh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBehavioral Sleep Medicine · 2014
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsReferralInsomniaPrimary careMedicineThe InternetFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

This study evaluated the effectiveness of two strategies (provider-targeted, consumer-targeted) in the dissemination of an insomnia treatment into primary care. Results of the study indicated that more patients from the provider-targeted, than the consumer-targeted, clinic followed up on the referral for insomnia treatment, but that overall there was limited uptake. These results did not seem to be associated with low levels of provider interest, although providers expressed need for more education about the insomnia program. Implications of these results are that future research efforts would benefit from expanding upon the education of providers in terms of treatment offered, perhaps teaching providers how to better motivate their patients for behavior change.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.979
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.355
Teacher spread0.336 · 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