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Record W3196294896 · doi:10.12927/hcpol.2021.26580

Canada’s System of Liability Coverage in the Event of Medical Harm: Is It Time for No-Fault Reform?

2021· article· en· W3196294896 on OpenAlexafffundvenueabout
Shoo Lee, Brian H. Rowe, Colleen M. Flood, Sukhy Mahl

Bibliographic record

VenueHealthcare policy · 2021
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsUniversity of AlbertaMount Sinai Hospital
FundersCanadian Institutes of Health ResearchUniversity of Ottawa
KeywordsMalpracticeHarmLiabilityMedical malpracticeEvent (particle physics)Actuarial scienceBusinessFault (geology)Political scienceLawFinance

Abstract

fetched live from OpenAlex

Many Canadians believe that physicians have malpractice insurance via the Canadian Medical Protective Association (CMPA). However, the CMPA is not an insurance company; it is a defence fund for physicians and has no obligation to compensate all claimants. CMPA expenses have increased nearly tenfold in 30 years and although public budgets support the majority of CMPA fees, less than 0.3% of injured patients receive compensation. A reform of the system is vital. Several developed countries have adopted a "no-fault" system to provide more equity and transparency and to ensure that the majority of funds go directly to injured patients rather than toward the payment of legal and administrative fees.

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)0.005
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.822
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.079
GPT teacher head0.484
Teacher spread0.405 · 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.

Study designNot applicable
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

Citations10
Published2021
Admission routes4
Has abstractyes

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