Comparative Analyses of Anti-hypertensive Effects of Commercial Collagen Peptides in Spontaneously Hypertensive Rats
Bibliographic record
Abstract
ニワトリ由来コラーゲンペプチド CCOP およびブタ由来コラーゲンペプチド P-LAP を自然発症性高血圧ラット SHR に 14 週間連続摂取させる長期飼育試験を実施した．その結果，SHR の収縮期血圧において，CCOP 摂取群は，対照群に比べて 8 週目および 14 週目で，P-LAP 摂取群に比べて 14 週目に有意な低値を示した．また拡張期血圧においても，CCOP 摂取群は P-LAP 摂取群に比べて 14 週目に有意な低値を示した．一方，対照群と P-LAP 摂取群の間の血圧値にはいずれも有意な変化は認められなかった．また，病理組織観察の結果，CCOP 摂取群は対照群に比べて，肝臓および心臓において緩やかな臓器保護現象が認められた．
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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) | 0.000 | 0.001 |
| 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".