The Carcass Contamination of <i>Pseudomonas</i> spp. in Porcine Slaughterhouse
Bibliographic record
Abstract
食肉の腐敗に大きく影響を及ぼすPseudomonas属菌に着目し，豚の解体処理工程ごとに枝肉のPseudomonas属菌の菌数を測定した．また，と体表皮，枝肉を流れ落ちる水滴を採取し，Pseudomonas属菌の菌数を測定した．枝肉上部では，前処理工程を経た後の全剝皮工程直前の段階でPseudomonas属菌の菌数が2.0×100 ～101cfu/cm2 であったが，枝肉洗浄機前には検出限界以下まで減少した．また，枝肉下部のPseudomonas属菌は部分剝皮直後には検出されなかったが，スキンナによる全剝皮工程以後から増加し，枝肉洗浄前で2.0×100 ～101cfu/cm2 に達した．と体表皮，枝肉より採取した水滴から，Pseudomonasが103 ～104cfu/ml 検出され，水を介しての汚染が示唆された．
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".