Notice bibliographique
Résumé
A dataset containing 2745 species occurrences available in GBIF matching the query: { "and" : [ "Country is Canada", "HasCoordinate is true", "HasGeospatialIssue is false", { "or" : [ "Issue is Zero coordinate", "Issue is Coordinate out of range", "Issue is Coordinate invalid", "Issue is Coordinate rounded", "Issue is Geodetic datum invalid", "Issue is Geodetic datum assumed WGS84", "Issue is Coordinate reprojected", "Issue is Coordinate reprojection failed", "Issue is Coordinate reprojection suspicious", "Issue is Coordinate accuracy invalid", "Issue is Coordinate precision invalid", "Issue is Coordinate uncertainty meters invalid", "Issue is Coordinate precision/uncertainty mismatch", "Issue is Footprint SRS invalid", "Issue is Footprint WKT invalid", "Issue is Country coordinate mismatch", "Issue is Country mismatch", "Issue is Country invalid", "Issue is Country derived from coordinates", "Issue is Continent country mismatch", "Issue is Continent invalid", "Issue is Continent derived from coordinates", "Issue is Presumed swapped coordinate", "Issue is Presumed negated longitude", "Issue is Presumed negated latitude", "Issue is Recorded date mismatch", "Issue is Recorded date invalid", "Issue is Recorded date unlikely", "Issue is Taxon match fuzzy", "Issue is Taxon match higher rank", "Issue is Taxon match aggregate", "Issue is Taxon match none", "Issue is Depth not metric", "Issue is Depth unlikely", "Issue is Depth min max swapped", "Issue is Depth non numeric", "Issue is Elevation unlikely", "Issue is Elevation min max swapped", "Issue is Elevation not metric", "Issue is Elevation non numeric", "Issue is Modified date invalid", "Issue is Modified date unlikely", "Issue is Identified date unlikely", "Issue is Identified date invalid", "Issue is Basis of record invalid", "Issue is Type status invalid", "Issue is Multimedia date invalid", "Issue is Multimedia URI invalid", "Issue is References URI invalid", "Issue is Error during interpretation", "Issue is Individual count invalid", "Issue is Individual count conflicts with occurrence status", "Issue is Occurrence status unparsable", "Issue is Occurrence status inferred from individual count", "Issue is ccurrence status inferred from basis of record", "Issue is Georeferenced date unlikely", "Issue is Georeferenced date invalid", "Issue is Ambiguous institution", "Issue is Institution match none", "Issue is Collection match none", "Issue is Collection match fuzzy", "Issue is Institution collection mismatch", "Issue is Possibly on loan", "Issue is Different owner institution", "Issue is Institution match fuzzy" ] }, "OccurrenceStatus is Present", "TaxonKey is Phragmites australis subsp. australis" ] } The dataset includes 2745 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299642-200613084148143/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.
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 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,007 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,339 | 0,407 |
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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».