Incidence of infection of trematode genus Azygia looss, 1899 parasitic in freshwater fish Channa punctatus
Notice bibliographique
Résumé
ABSTRACT The present investigation deals with the incidence of infection of Trematode A. angusticauda by Stafford, 1904 parasitizing of Channa punctatus from different localities of Nanded District (M.S.) India during February, 2014 to January, 2015. The high prevalence of trematode parasites were occurred in Summer (79.16 %) followed by Winter (62.50 %) whereas infection was low in monsoon (39.58%). Keywords: A. angusticauda Stafford, 1904, Channa punctatus, Incidence of infection, Nanded REFERENCES Anderson, R.M., 1976. Seasonal variation in the population dynamics of Caryophyllacus lacticeps. Parasitology 72: 281-395. Anderson, R.M. And May, R.M., 1978.Regulation and stability of the host parasite population interaction. I- Regulation process. Jr. Animal. Ecol. 47(1): 219-247. Anderson, R.M. And May, R.M., 1978. The regulation of the host population growth by parasite species. Parasitology 76: 199-157. Anderson, R.M. And Gordon, D.M., 1982. 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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| 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 ».