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Record W4392588856 · doi:10.1016/j.gimo.2024.101426

P527: Evidence-based methodology for developing coordinated genetic service recommendations in Ontario

2024· article· en· W4392588856 on OpenAlex
Luis de la Peña, Angela Du, Kaitlyn Lemay, Kathleen Bell, Raymond Kim

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGenetics in Medicine Open · 2024
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity Health Network
Fundersnot available
KeywordsService (business)Process managementComputer scienceBusinessMarketing

Abstract

fetched live from OpenAlex

The field of genetics has rapidly evolved, revealing that rare and inherited diseases are collectively common. To address the challenges posed by this large patient population for the local healthcare system, the Provincial Genetics Program (PGP) at Ontario Health (OH) is developing recommendations for the delivery of services and implementation of testing for individuals with hereditary cancer, rare and inherited diseases. Following an evidence-based framework, the guidance documents aim to enhance patient access and clinical services by offering standardized, coordinated, and comprehensive strategies for physicians involved in diagnosing and/or treating individuals with a genetic condition.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.668
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.806
GPT teacher head0.622
Teacher spread0.184 · 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