Bibliographic record
Abstract
A dataset containing 54212 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Material sample, Occurrence evidence, Living Specimen)", "Country is one of (United States of America, Canada)", "Geometry POLYGON((-125.99277 48.7914,-122.93243 48.18157,-122.53239 48.28815,-122.83242 49.0018,-119.33203 49.01492,-113.37137 48.97554,-105.68092 48.95058,-98.85255 48.98997,-94.77736 48.95058,-91.597 48.23621,-89.69679 48.07609,-89.17674 47.80811,-87.39654 47.66012,-84.45989 46.74969,-82.91972 46.07394,-83.77981 45.97673,-82.53967 45.03755,-82.45966 42.92209,-83.05973 41.93291,-82.15963 41.81376,-79.95939 42.42207,-78.7124 43.24806,-76.0121 44.24506,-74.33191 45.08438,-71.77163 44.94298,-70.75152 45.35208,-69.99143 46.32749,-68.51632 47.31786,-67.95626 47.12768,-67.73623 45.73541,-66.83613 45.00472,-66.89614 43.42792,-64.7559 42.96129,-59.13528 45.42742,-60.03362 47.7833,-55.59644 45.55006,-49.9592 46.32179,-50.89134 48.8947,-54.44236 51.64567,-55.19941 55.23558,-62.83409 61.13918,-60.73938 66.03214,-61.13887 67.97328,-66.7761 70.25007,-74.77196 74.821,-71.60918 79.41941,-58.2067 82.47958,-73.08346 83.61172,-98.61994 81.57044,-120.47487 78.11412,-132.54028 70.93101,-154.56257 72.75468,-168.73104 69.35388,-168.84818 65.30064,-171.07384 60.68361,-175.52515 53.59093,-167.4425 50.49441,-148.70013 56.41133,-125.99277 48.7914))", "OccurrenceStatus is Present", "TaxonKey is one of (Zalophus californianus (Lesson, 1828), Sus scrofa Linnaeus, 1758, Rattus rattus (Linnaeus, 1758), Rattus norvegicus (Berkenhout, 1769), Procyon lotor (Linnaeus, 1758), Paradoxurus hermaphroditus (Pallas, 1777), Ovis aries Linnaeus, 1758, Oligoryzomys nigripes (Olfers, 1818), Odocoileus virginianus (Zimmermann, 1780), Mus musculus Linnaeus, 1758, Mirounga angustirostris (Gill, 1866), Mephitis mephitis (Schreber, 1776), Marmota monax (Linnaeus, 1758), Felis rufus Schreber, 1777, Felis catus Linnaeus, 1758, Equus caballus Linnaeus, 1758, Didelphis marsupialis Linnaeus, 1758, Didelphis albiventris Lund, 1840, Cavia porcellus (Linnaeus, 1758), Cavia Pallas, 1766, Capra aegagrus Erxleben, 1777, Canis lupus Linnaeus, 1758, Bos taurus Linnaeus, 1758, Arvicola terrestris (Linnaeus, 1758), Apodemus agrarius (Pallas, 1771))", "Year 2000-2025" ] } The dataset includes 54212 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002661-250424135625364/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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.228 | 0.331 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".