Bibliographic record
Abstract
A dataset containing 468 species occurrences available in GBIF matching the query: { "and" : [ "DatasetKey is one of (Essig Museum of Entomology, Field Museum of Natural History (Zoology) Insect, Arachnid and Myriapod Collection, Triplehorn Insect Collection, The Ohio State University, Santa Barbara Museum of Natural History Entomology Collection, Stuart M. Fullerton Collection of Arthropods (UCFC), University of Central Florida, IZIKO South Africa Museum Collection (1800-2013), Frost Entomological Museum, NMNH Extant Specimen Records (USNM, US), International Barcode of Life project (iBOL), University of Alberta E. H. Strickland Entomological Museum (UASM), Earth Guardians Weekly Feed)", { "or" : [ "Geometry MULTIPOLYGON(((-122.3053 37.94934,-122.30667 37.94284,-122.2998 37.92389,-122.26959 37.8968,-122.24213 37.86699,-122.23938 37.83012,-122.21466 37.81548,-122.17552 37.78727,-122.15904 37.78076,-122.13364 37.74221,-122.11235 37.71234,-122.10068 37.72266,-122.06154 37.72429,-122.043 37.69659,-122.04506 37.66779,-122.05536 37.65474,-122.0224 37.62375,-121.97777 37.58676,-121.95168 37.59002,-121.95168 37.57642,-121.91597 37.54213,-121.90018 37.52307,-121.8988 37.49584,-121.8837 37.45878,-121.82945 37.40644,-121.80473 37.38243,-121.791 37.35897,-121.74706 37.32185,-121.72852 37.29509,-121.73058 37.2623,-121.76971 37.26668,-121.74706 37.2388,-121.66603 37.17865,-121.62827 37.17044,-121.61316 37.15238,-121.58775 37.13487,-121.56578 37.11023,-121.52596 37.056,-121.50536 37.0571,-121.4669 37.00338,-121.43875 36.99844,-121.40305 36.96718,-121.39137 36.96498,-121.38931 37.00392,-121.36047 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Coccinellidae", "Year is less than or equal to 2023" ] } The dataset includes 468 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154584-240321170329656/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 | 0.008 |
| 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 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.349 | 0.446 |
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".