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Epilepsy: Transition from Pediatric to Adult Care. Recommendations of the Ontario Epilepsy Implementation Task Force (P6.273)

2018· article· en· W2806022929 on OpenAlexaffabout
Danielle M. Andrade, Anne S. Bassett, Eduard Bercovici, Felippe Borlot, Esther Bui, Peter Camfield, Guida Quaglia Clozza, Eyal Cohen‬‏, Timothy Gofine, Lisa Graves, Jon Greenaway, Beverly Guttman, Maya Guttman‐Slater, Ayman Hassan, Megan Henze, Miriam Kaufman, Bernard Lawless, Hannah Lee, Lezlee Lindzon, Lysa Boissé Lomax, Mary Pat McAndrews, Dolly Menna‐Dack, Berge A. Minassian, Janice Mulligan, Rima Nabbout, Tracy Nejm, Mary Secco, Laurene Sellers, Michelle Shapiro, Marie Slegr, Rosie Smith, Péter Szatmári, Leeping Tao, Anastasia Vogt, Sharon Whiting, O. Carter Snead

Bibliographic record

VenueNeurology · 2018
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsChildren's Hospital of Eastern OntarioHolland Bloorview Kids Rehabilitation HospitalSurrey Place CentreSt. Michael's HospitalKingston General HospitalThunder Bay Regional Health Sciences CentreHospital for Sick ChildrenHamilton Health SciencesDalhousie UniversityOntario Shores Centre for Mental Health SciencesUniversity Health NetworkUniversity of TorontoToronto Western HospitalCARE CanadaPublic Health OntarioProfessional Engineers Ontario
Fundersnot available
KeywordsTask forcePsychoanalysisGuttman scalePsychologyArt historyMedicineArtPolitical scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

Recently, the Ministry of Health and Long Term Care of the Province of Ontario, Canada created a Transition working group (TWG) to develop recommendations for the transition process for patients in the Province of Ontario. Here we present an executive summary of this work.

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)0.013
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0040.002
Scholarly communication0.0030.003
Open science0.0040.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0080.004

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 head0.036
GPT teacher head0.386
Teacher spread0.349 · 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 designNot applicable
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
Published2018
Admission routes2
Has abstractyes

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