Bibliographic record
Abstract
A dataset containing 165 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Human Observation, Material sample)", "DatasetKey is one of (Triplehorn Insect Collection, The Ohio State University, Field Museum of Natural History (Zoology) Insect, Arachnid and Myriapod Collection, Illinois Natural History Survey Insect Collection, University of Kentucky Insect Collection, BugGuide - Identification, Images, & Information For Insects, Spiders & Their Kin For the United States & Canada, New Mexico State Collection of Arthropods, Snow Entomological Museum Collection, Santa Barbara Museum of Natural History Entomology Collection, Auburn University Museum of Natural History Entomology, International Barcode of Life project (iBOL), Coleção Entomológica do Setor Palotina, Universidade Federal do Paraná, Insecta of Costa Rica (INBio), University of Texas, Biodiversity Center, Entomology Collection (UTIC), Recent Invertebrates Specimens, Colección de insectos agrícolas del proyecto diversidad en sistemas de cultivos, San Diego Natural History Museum Entomology Department, University of Delaware Insect Research Collection, Insectos asociados a cultivos de hortalizas con criterios agroecológicos en el departamento del Magdalena, University of California Santa Barbara Invertebrate Zoology Collection, Insectarium de Montréal (IMQC), Texas A&M University Insect Collection, Entomology Collection at the Natural History Museum of Utah, Monitoreo de insectos benéficos asociados a Diaphorina citri en los departamentos de La Guajira y Santander, Artrópodos y microroganismos asociados al cultivo del guandul en los departamentos del Atlántico y Magdalena, CAS Entomology (ENT), Northern Arizona University - Walnut Canyon National Monument Collection, Computarización de la colección científica del proyecto de control biológico de malezas de CSIRO-Australia)", "License is one of (CC0 1.0, CC-BY 4.0)", "LifeStage is Adult", "TaxonKey is Cycloneda sanguinea" ] } The dataset includes 165 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018575-250920141307145/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.376 | 0.423 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".