Responses of the Medaka HPG Axis PCR Array and Reproduction to Prochloraz and Ketoconazole
Bibliographic record
Abstract
Effects of two model imidazole-type fungicides, prochloraz (PCZ) and ketoconazole (KTC), on the hypothalamic-pituitary-gonadal (HPG) axis of the Japanese medaka (Oryzias latipe) [corrected] were examined by use of real time PCR (RT-PCR) array. Fourteen-week-old Japanese medaka were exposed for seven days to concentrations of PCZ or KTC from 3.0 to 300 microg/L Exposure [corrected] to KTC or PCZ caused significant reduction of fecundity of Japanese medaka and down-regulated expression of estrogen receptor (ER)-alpha and egg precursors in livers of males and females. However, PCZ was more potent than KTC both in modulating transcription and causing lesser fecundity. Exposure to nominal 30 microg PCZ/L resulted in 50% less fecundity and significant down-regulation of vitellogenin II expression, but KTC did not cause such effects at this concentration. Exposure to PCZ caused a compensatory upregulation in cytochrome P450 c17alphahydroxylase, 17,20-lyase (CYP17) and aromatase (CYP19) expression in the ovary, while KTC did not. Furthermore, the ecologically relevant end point, fecundity was log-log related to mRNA level of six genes in livers of females.
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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) | 0.002 | 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".