Taxol induces apoptosis in canine breast tumour cells with typical morphological features of apoptosis
Bibliographic record
Abstract
To investigate Taxol-induced apoptosis in canine mammary tumours,canine breast cancer cell line CHMm was treated with Taxol at 0.01,0.1 and 1 μmol/L for 48 hour,respectively.Morphological changes were monitored using the light microscope.Apoptosis was quantified using the AO/EB double staining,followed by imaging and counting apoptotic cells with a fluorescent microscope.Cell proliferation was measured by the BrdU methodology.In result,Taxol inhibited the proliferation of canine breast cancer cells and induced apoptosis,with the appearance of typical morphological features of apoptosis,in canine breast cancer cells in a dose-dependent manner.In conclusion,Taxol inhibited cell proliferation,and dose-depen-dently induced cellular injuries and apoptotic cell death.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".