The ovulation timing service for bitches at the department of clinical sciences of companion animals at Utrecht University: a retrospective study on the period 2003-2010 and a client satisfaction survey
Notice bibliographique
Résumé
Part I \nThe effects of age, parity, breed, weight and fertilization method on pregnancy rates and litter size were studied in 681 bitches of 124 different breeds. Furthermore, the effect of season on the distribution of presenting dogs for ovulation timing was examined. Data collected from Utrecht University during 2003-2010 were analyzed. The number of dogs presented for ovulation timing was reduced between 2003 and 2008. Pregnancy rates of dogs presented without fertility problems (85.4%) were higher than pregnancy rates of dogs presented with fertility problems (66.5%). In bitches of one (P = 0.037) and two years old (P = 0.048), which gave birth to their first litter, pregnancy rates were higher than those of bitches of seven years old. Labrador retrievers had a significant (P = 0.01) higher pregnancy rate than Golden retrievers (respectively 90.2% and 74.6%). The mean number of total Doberman pups per litter (8.43± 3.52) was higher than the mean number of German shepherd pups (6.17 ± 3.07, P = 0.04). The median weight of the bitches presented for ovulation timing was 29.4 kg, ranging from 2.0 to 71.1. Pregnancy rates were higher in bitches of 10.0-24.9 kg (87.7%) compared to bitches over 45.0 kg (72.7%, P = 0.02). Weight was also found to effect total litter size. Dogs up to 9.9 kg had smaller litters (4.15 ± 1.39, P = 0.005) than dogs between 10.0-24.9 kg (6.49 ± 2.73). Both those groups had smaller litters (respectively P ≤ 0.001 and P ≤ 0.02) than dogs of 25.0-44.9 kg (7.47 ± 2.86) and dogs of more than 45.0 kg (8.40 ± 3.73). A difference (P ≤ 0.001) in pregnancy rate was found between natural matings (85.1%), artificial inseminations with fresh semen (66.7%) and artificial inseminations with frozen-thawed semen (27.8%). Parity did not have an effect on both pregnancy rates and litter size and season did not affect the number of dogs presented for ovulation timing. \n \nPart II \nThe opinion of dog owners concerning the ovulation timing service at Utrecht University (UKG) was examined by an online survey. All clients from the Netherlands (n = 386) between 2003 and 2010, were invited to fill in the questionnaire. The overall response rate was 22.7%. Propositions were rated on a scale of one to five. Veterinarians were evaluated to be capable for examination (mean = 4.6) and the oral information given by them was understandable (mean = 4.4). Co-assistants handled the dogs in a responsible way (mean = 4.2). Least satisfied, were people about the waiting time (mean = 3.8) and reasonableness of the costs (mean = 3.6). Dog owners, who had been to UKG for ovulation timing more than 5 times, were less satisfied about the costs than people who used this service infrequently. 60% of the respondents indicated that they would like to receive additional written information. In general, the ovulation timing service was rated with a median of 8.0 (range 1-10, n = 95) on a scale of 1 to 10.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».