Comparison of Antithrombotic Activity of Heparin, ASA, Sulfinpyrazone and VK 744 in a Rat Model of Arterial Thrombosis
Bibliographic record
Abstract
Rat carotid arteries were injured electrically (350 V, 2 mA DC for 5 min) before and after the intravenous administration of heparin (1,000 U/kg), VK 744 (25, 50, 100 mg/kg) ASA (100, 200 mg/kg) and sulfinpyrazone (50, 100, 150, 200 mg/kg). Thrombus growth was quantified by recording arterial temperature change distal to the injury. Heparin completely blocked thrombus formation in most experiments. All other agents exhibited antithrombotic activity with sulfinpyrazone being most potent. None was as effective as heparin. This model may be a useful tool for screening antithrombotic drugs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".