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Record W3012375629 · doi:10.1186/s40463-020-00406-9

Choosing Wisely Canada rhinology recommendations

2020· review· en· W3012375629 on OpenAlex
Neil Arnstead, Yvonne Chan, Shaun Kilty, Ragavan Ganeshathasan, Armin Rahmani, Eric Monteiro

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

VenueJournal of Otolaryngology - Head and Neck Surgery · 2020
Typereview
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsMount Sinai HospitalWestern UniversityOttawa HospitalUniversity of OttawaTrillium Health CentreUniversity of Toronto
Fundersnot available
KeywordsRhinologyMedicineMedical physicsSurgeryOtorhinolaryngology

Abstract

fetched live from OpenAlex

The Choosing Wisely Canada campaign is an initiative that aims to involve physicians and patients in collaborative decision making to avoid unnecessary tests and treatments. The Rhinology Subspecialty Group of the Canadian Society of Otolaryngology - Head & Neck Surgery developed a list of five evidence-based recommendations for the management of acute rhinosinusitis and nasal fractures: (1) don't prescribe antibiotics to patients with acute sinusitis who do not meet the diagnostic criteria for acute bacterial rhinosinusitis; (2) don't order a CT scan for uncomplicated acute rhinosinusitis; (3) don't order plain film sinus x-rays; (4) don't swab the nasal cavity as part of the work up for rhinosinusitis; and (5) don't order a plain film x-ray in the evaluation of nasal fractures.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.561
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
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 head0.117
GPT teacher head0.426
Teacher spread0.308 · 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