Study on the antitumor effect of extracts from scale and shell of Crocodylus porosus
Bibliographic record
Abstract
Objective To study the inhibitory effects of the Crocodylus porosus extracts on murine tumor. Methods 3% of papain was used to degrade the scale and shell of the Crocodylus porosus for 14 hours under 60℃,pH7.0. The effects of the extracts on hepatic solid tumor (HepA) and Ehrlich ascites carcinoma (EAC) were studied in mice. Results The inhibitory rates of the high-dose extract (4.5g·kg~ -1 ) on HepA and EAC were 30.01%(P0.05)and 37.69%(P0.05)respectively,and the inhibitory rates of the low-dose extract (2.25g·kg~ -1 )were 21.43%(P0.05)and 37.69%(P0.01)respectively. The high-dose extracts(4.5g·kg~ -1 ) could prolong 21.12%(P0.05)and 34.39%(P0.05)of the life span of HepA bearing mice and EAC bearing mice, and the low-dose (2.25g·kg~ -1 )were 39.13%(P0.01)and 1.91%(P0.05)respectively. Conclusion It is indicated by the primary research that the Crocodylus porosus extracts have inhibitory effects on the murine tumor.
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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".