Bibliographic record
Abstract
A dataset containing 567 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Specimen", "BasisOfRecord is Material sample" ] }, { "or" : [ "Country is United States of America", "Country is Canada", "Country is Belize", "Country is Guatemala", "Country is El Salvador", "Country is Cuba", "Country is Jamaica", "Country is Panama", "Country is Costa Rica", "Country is Dominican Republic", "Country is Colombia", "Country is Venezuela (Bolivarian Republic of)", "Country is Bahamas", "Country is Haiti", "Country is Puerto Rico" ] }, { "or" : [ "DatasetKey is Insecta of Costa Rica (INBio)", "DatasetKey is University of Guelph Insect Collection (DEBU)", "DatasetKey is Lyman Entomological Museum (LEMQ)", "DatasetKey is Centre for Biodiversity Genomics - Canadian Specimens", "DatasetKey is Inventario florístico y entomofaunístico en tres objetos de conservación ecosistémicos en las zonas núcleo de las reservas estatales de Balam-kú y Balam-kin, Campeche (Insectos)", "DatasetKey is CHAS Entomology Collection (Arctos)", "DatasetKey is University of British Columbia - Spencer Entomological Collection (UBCZ)", "DatasetKey is Fortalecimiento de las colecciones de ECOSUR. Primera fase (Entomologica Tapachula)" ] }, "Geometry POLYGON((-128.32031 48.76827,-123.63281 13.23995,-77.3291 6.40137,-64.67285 17.76855,-67.07519 47.2998,-95.20019 49.05762,-128.32031 48.76827))", "HasGeospatialIssue is false", { "or" : [ "InstitutionCode is instituto de investigación de recursos biológicos alexander von humboldt (iavh)", "InstitutionCode is inbio", "InstitutionCode is university of guelph", "InstitutionCode is tecnológico de antioquia (tdea)", "InstitutionCode is university of guelph, centre for biodiversity genomics", "InstitutionCode is mcgill university", "InstitutionCode is university of british columbia", "InstitutionCode is ecosur", "InstitutionCode is universidad de antioquia (udea)", "InstitutionCode is chas" ] }, "TaxonKey is Paralucilia fulvinota (Bigot, 1877)" ] } The dataset includes 567 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040277-200613084148143/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) | 0.003 | 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 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.406 | 0.462 |
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".