Methodology for the Canadian Activase for Stroke Effectiveness Study (CASES)
Bibliographic record
Abstract
BACKGROUND: Intravenous recombinant tissue plasminogen activator (tPA, alteplase) was conditionally licensed for the treatment of acute ischemic stroke (AIS) in Canada on February 17, 1999. As a condition of licensure, the Canadian Activase for Stroke Effectiveness Study (CASES) was established to monitor the use of alteplase for AIS in Canada. The study involves multiple stakeholders. METHODS: CASES is a prospective registry of patients treated with alteplase for AIS. The purposes of this registry are to ensure the safety of the drug in the Canadian context, to assess effectiveness of alteplase for AIS and to gather further information to try to establish which patients are most likely to benefit from treatment. RESULTS: Both community (n=25) and tertiary centres (n=35) have enrolled a total of 944 patients to date. Early results suggest that thrombolytic stroke treatment is both safe and effective among these centres. CONCLUSIONS: This paper outlines the development of and methods for the CASES study. The study is an example of a multi-stakeholder collaboration to advance the care of patients with acute stroke.
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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 | 0.080 | 0.186 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.004 |
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".