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Record W4381164109 · doi:10.12927/hcpol.2023.27093

Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network

2023· article· en· W4381164109 on OpenAlexaffvenueabout
Sabrina T. Wong, Rachael Morkem, Ayat Salman, David Barber, Jerome A. Leis

Bibliographic record

VenueHealthcare policy · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsHealth Sciences CentreQueen's UniversityUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedical prescriptionAntimicrobial stewardshipMedicinePrimary carePandemicRespiratory tract infectionsMedical recordAntibioticsEmergency medicineAntibiotic StewardshipCoronavirus disease 2019 (COVID-19)PediatricsFamily medicineMedical emergencyIntensive care medicineInternal medicineAntibiotic resistanceNursingRespiratory systemInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Antimicrobial stewardship programs are virtually non-existent in primary care in Canada. The authors examine the impact of the pandemic on rates of antibiotic prescribing for acute respiratory tract infection. In extrapolating their findings to the population, they find that almost 750,000 fewer patients could potentially avoid receiving an antibiotic prescription in primary care.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.279
Teacher spread0.255 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2023
Admission routes3
Has abstractyes

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