Notice bibliographique
Résumé
Black-bellied Whistling-DuckThe OBRC has formal documentation from Franklin. Greater White-fronted GooseA flock of 11 spent 13 to 15 Mar along Grant Moore Road, Seneca (m.obs.)The last was a single bird at Hamlet Protein, Hancock, on 09 May (fide Robert Sams).(16 counties) Snow Goose The high count was 84; Rick Asamoto found them at Old Highland Stone on 07 Mar.Sixteen were the blue morph and the rest white.Scott Huge made the second-highest count of 38, in Swine Creek Reservation, Geauga, on 15 Mar.Singles on 14 Apr at the Findlay Reservoirs (Christopher Collins) and the Mercer end of Grand Lake St. Marys (Carlton Schooley) were the last.(25 counties)Ross's Goose All which were positively identified were single birds.Old Reid Park, Clark, hosted one from 11 to 17 Apr (m.obs.).It was the last but for one at the Hueston Woods SP marina, Preble, on 06 May (Kaitlyn Gerken).Butler and Ottawa also contributed sightings; Logan might also have done so, but see below. [Snow x Ross's Goose]Stephan Minnig and Troy Shively decided that at least one of the two smallish birds they saw at The Slough, Logan, on 29 Mar and again on 01 Apr was a hybrid.Snow/Ross's Goose Indeterminate birds were in Greene, Logan, Medina, Montgomery, and Summit. Cackling GooseA trio flew over the Bowling Green State University campus, Wood, on 17 Mar (Mark Rozmarynowycz).Another three were at Sandy Ridge on 26 Mar (Gustino Lanese).Junior Barnes saw two at Rocky Fork on 31 Mar, and said they had been there for three days.They were the last but for two which Victor Fazio III picked out of a flock of Canada Geese at Schekelhoff Park, Seneca, on 02 May.(13 counties) Canada Goose Ron Sempier estimated 3000 were in Killdeer's Pond 27 on 02 Mar.Mark Shieldcastle found about 2200 at ONWR on 15 Mar.Every county but Pike had at least one sighting.[Snow x Canada Goose] John Habig identified two on the Great Miami River in Butler on 22 Apr. Cackling/Canada GooseViewers were undecided about birds in Athens (one), Erie (one), Franklin (four to seven), and Hocking (six). Mute SwanThe high count was 17; Victor Fazio III found them at Great Egret Marsh, Ottawa, on 03 May.Counts elsewhere ranged up to 16. (50 counties) Trumpeter Swan A quartet of birders saw the largest concentration, 35, at the Turtle Creek fishing access, Ottawa, on 21 May.(33 counties) Tundra Swan Mark Shieldcastle found 1200 at ONWR on 15 Mar; he saw 840 there the next day.The highest count away from Lake Erie was Ron Sempier's 500 or more at Killdeer on 23 Mar; they were spread among several of the ponds.John Faneuff's four at Magee and one at Metzger on 24 Apr were the last.(51 counties) Wood Duck Mill Creek Sanctuary, Mahoning, hosted 165 for Jeff Harvey on 20 Mar.Neil Gilbert noted 80 in the camping area of East Fork on 20 Mar and wrote, "Incredible numbers-I've never seen so many in one place (scattered along a perhaps half-mile stretch of river edge)".Only Meigs, Pike, and Putnam did not yield reports.Lael Weyenberg welcomed birders to view this pair of Black-bellied Whistling-Ducks which spent 18 May at her backyard pond in Worthington, Franklin, and were photographed by Kathi Hutton.
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 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,010 | 0,010 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,546 | 0,317 |
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 ».