Effect of two temperatures on in vitro nuclear maturation of bitch oocytes: relation to time culture intervals
Bibliographic record
Abstract
In the present study, two commonly incubation temperatures used on in vitro oocyte maturation in canine species (Canisfamiliaris) were analysed with the aim to verify the rate of nuclear maturation of bitch oocytes after three culture intervals (48, 72and 96 h). The culture medium was TCM 199, supplemented with 25mM Hepes/l (v/v), with 10% heat inactivated estrous cowserum (ECS), 50mg/mL gentamicin, 2.2mg/mL sodium bicarbonate and 22mg/mL pyruvic acid, 1.0mg/mL oestradiol (E 8875Sigma), 0.5mg/mL FSH (Folltropin-V, Vetrepharm Inc. Ont, Canada) and 0.03IU/mL hCG (Profasi HP, Serono, Aubonne,Switzerland). Oocytes were recovered from ovaries of bitches at random estrous cycle stages by routine ovariohysterectomy(n=14) or by therapeutical ovariohysterectomy (n=8) at the veterinary hospital of the Universidade Federal do Rio Grande do Sul(UFRGS), Brazil. There was no statistical difference in the rate of meiosis of oocytes matured at 37oC or at 39oC at any time point.However, the proportion of oocytes that reached the metaphase II (MII) stage at 37o C after 72 h of in vitro culture (16/123; 13%),tended to be higher (P=0.064), when compared to that matured at the 39oC (6/148; 4,1%). The results demonstrate thattemperatures of 37oC and 39oC are equally effective for the in vitro culture of bitch oocytes.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".