Bibliographic record
Abstract
he role of cyclo-oxygenase prostaglandins (PG) in promotion has been w many human, rodent, canine COX-2 can be induced by many several oncogenes.1e3 COX-2 o been documented in feline squam tional cell carcinomas,4e6 and used for other tumors based on s of non-steroidal anti-inflammatory drugs (NSAIDs) has been approached with caution in cats due to the hepatocytes.3,10e12 Only one NSAID, meloxicam (short-term use) and Europe (short- and long-term oral piroxicam at 0.3 mg/kg every 3e4 days. Response was variable, and melena and anemia malignant mesothelioma.14 This cat also experienced the clinical safety of long-term piroxicam use in cats, Journal of Feline Medicine and Surgery (2010) 12, 262e268 doi:10.1016/j.jfms.2009.09.007(Metacam; Bohringer AH) is currently labeled for use in cats in the United States, though oral tolfenamic acid (Tolfedine; Vetoquinol), carprofen (single use, Ri-madyl; Pfizer) and meloxicam are licensed in Canada melena and anemia but continued piroxicam after a 1 week hiatus and survived 6 months after diagnosis. The primary objective of this study was to evaluateextensive hepatic metabolism required in most species and the limited glucuronidation capacity of feline were reported in one cat. Intracavitary carboplatin and oral piroxicam were administered to a cat withstudies.7e9 The precise mechani activity of piroxicam is unknow*Corresponding author. E-mail: jbulm cancergroup.com
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.386 | 0.179 |
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".