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Record W3164856940 · doi:10.7870/cjcmh-2021-008

Who Should Be Seen When? Establishing Wait Time Benchmarks for Children’s Mental Health

2021· article· en· W3164856940 on OpenAlexaffvenueabout
Julie A. Eichstedt, Devita Singh, Samantha Chen, Kerry Collins, David Cawthorpe

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2021
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsUniversity of CalgaryWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMental healthVignetteTriageMental health serviceRanking (information retrieval)MedicinePsychologyPsychiatrySocial psychologyComputer science

Abstract

fetched live from OpenAlex

To develop wait time guidelines, case vignettes were designed corresponding to varying levels of clinical urgency based on an objective measure (Western Canada Waitlist Mental Health Priority Criteria). Experts provided maximum acceptable wait times (MAWT) for each vignette. Raters’ estimates of urgency aligned with the vignettes’ designed ranking. “Very high” and “high” clinical urgency cases were assigned a mean MAWT of approximately 2 weeks and a month, respectively. For “moderate” urgent cases, the mean MAWT was 3.5 months, with a MAWT over 4 months estimated for “low” urgency cases. These results may inform local children’s mental health service triage practices.

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)0.029
metaresearch head score (Gemma)0.088
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 score0.063
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.088
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.047
GPT teacher head0.335
Teacher spread0.289 · 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

Citations4
Published2021
Admission routes3
Has abstractyes

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