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Record W4234482608 · doi:10.33920/med-10-2009-10

Canadian Healthcare

2020· article· en· W4234482608 on OpenAlexaboutno aff
Elena Vladimirovna Frolova

Bibliographic record

VenueSpravočnik vrača obŝej praktiki (Journal of Family Medicine) · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careRevenueState (computer science)Statutory lawBusinessInstitutionPosition (finance)CosmetologyPublic relationsPolitical scienceLawFinance

Abstract

fetched live from OpenAlex

The Canadian healthcare system is an industry that Canadians are rightfully proud of, and it ranks among the world’s leading healthcare systems (ranked 16th by Bloomberg). This sector is almost 100% state-funded, but every citizen is obliged to pay a medical care tax that is rather significant. As a result, every Canadian is entitled to equal healthcare, regardless of his or her financial position. State-guaranteed medical services are paid from the state foundations that accumulate insurance pools from the provincial tax revenues under the statutory health insurance program. All Canadian residents have a special plastic Health Card they are obliged to show in each medical institution they make recourse to. This card can also serve as an identity document. Pensioners are entitled to a Health 65Card with a wider range of services. Canadian healthcare is provided free of charge, with the exception of certain areas, such as dentistry, cosmetology, and ophthalmology. The majority (actually, more than a half) of medical practitioners are family doctors, and every Canadian has the right to choose a family doctor irrespective of his or her residential address.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.953
Threshold uncertainty score0.849

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0060.001
Scholarly communication0.0080.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.4050.118

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 head0.162
GPT teacher head0.311
Teacher spread0.149 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueSpravočnik vrača obŝej praktiki (Journal of Family Medicine)Same topicHealthcare Policy and ManagementFrench-language works237,207