MétaCan
Menu
← Back to cohort
Record W2760424266 · doi:10.1177/1357633x17730444

Virtual care policy recommendations for patient-centred primary care: findings of a consensus policy dialogue using a nominal group technique

2017· article· en· W2760424266 on OpenAlexaffabout
James Shaw, Trevor Jamieson, Payal Agarwal, Bailey Griffin, Ivy Wong, R. Sacha Bhatia

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsPrimary careNominal group techniquePolitical scienceNursingMedicinePsychologyPublic administrationFamily medicineComputer scienceKnowledge management

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.273
metaresearch head score (Gemma)0.369
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.896

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2730.369
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0190.015
Scholarly communication0.0120.011
Open science0.0050.021
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0040.000

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 head0.081
GPT teacher head0.419
Teacher spread0.337 · 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.

Study designQualitative
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

Citations193
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Telemedicine and Telecare→Same topicDelphi Technique in Research→French-language works237,207→