Bibliographic record
Abstract
Abstract Canada has a predominantly publicly financed health insurance system that covers medically necessary hospital (inpatient and outpatient) and physician services for all residents. This system, popularly known as “Medicare”, consists of 13 interlocking health plans administered by the 10 provinces and three territories. In December 1993, the Canadian Institute for Health Information (CIHI) was established as an independent, nongovernmental, not‐for‐profit corporation and the Deputy Ministers of Health confirmed the CIHI board as its principal advisor on health‐information‐related matters. The CIHI was established to serve as the national mechanism to coordinate the development and maintenance of a comprehensive and integrated health information system for Canada. In addition, the CIHI provides and coordinates the provision of accurate and timely information required for the establishment of sound health policy; the effective management of the Canadian health system; and to generate public awareness about factors affecting good health. This article describes some of the major Canadian health‐related data holdings, which may be accessible to researchers or others.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.033 | 0.100 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".