MétaCan
Menu
Back to cohort
Record W4387935432 · doi:10.2196/53832

Correction: Exploring an Innovative Care Model and Telemonitoring for the Management of Patients with Complex Chronic Needs: Qualitative Description Study

2023· erratum· en· W4387935432 on OpenAlexafffundvenue
Kayleigh Gordon, Carolyn Steele Gray, Katie N. Dainty, Jane DeLacy, Patrick Ware, Emily Seto

Bibliographic record

VenueJMIR Nursing · 2023
Typeerratum
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsWilliam Osler Health SystemNorth York General HospitalSinai Health SystemLunenfeld-Tanenbaum Research InstituteUniversity of TorontoUniversity Health Network
FundersSolar Energy Technologies OfficeCanadian Institutes of Health Research
KeywordsQualitative researchMedicinePsychologyComputer scienceSociologySocial science

Abstract

fetched live from OpenAlex

[This corrects the article DOI: 10.2196/15691.].

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)0.014
metaresearch head score (Gemma)0.207
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.207
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0060.004
Scholarly communication0.0050.004
Open science0.0040.004
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0400.012

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 head0.177
GPT teacher head0.411
Teacher spread0.234 · 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 designQualitative
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueJMIR NursingSame topicChronic Disease Management StrategiesFrench-language works237,207