© 2001 Canadian Medical Association or its licensors Review
Bibliographic record
Abstract
Asymptomatic elevation of the international normal-ized ratio (INR) is a common and important clinicalproblem encountered by all health care profession-als who supervise patients taking warfarin. Patients in typi-cal outpatient practices have INRs outside the desired range 50 % of the time.1,2 One randomized controlled trial (RCT) suggested that, despite measures to ensure an ap-propriate level of anticoagulation, 14 % of total patient-time was spent with INR values above the therapeutic range.3 There is a strong relation between the degree of INR elevation and the risk of hemorrhage. Serious war-farin-associated bleeding usually occurs from the gastroin-testinal or genitourinary system;4 the risk of such bleeding may as much as double for each 1-point increase in the INR.5 Investigators of a prospective cohort study6 followed 114 consecutive patients who presented to an anticoagula-tion clinic with an INR greater than 6 and found that ab-
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.419 | 0.391 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".