Bibliographic record
Abstract
A dataset containing 24771 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 (Canada, United States of America)", "Geometry POLYGON((-66.07178 42.3335,-51.08953 46.00347,-51.71379 51.35486,-61.0777 61.07902,-59.08006 67.68323,-75.31083 74.32168,-74.56172 77.3637,-71.81497 79.09268,-58.70551 82.58735,-73.68775 83.64752,-87.29663 82.93342,-105.77473 80.40202,-127.62384 76.83414,-130.87 71.77848,-135.86408 70.61172,-149.22325 71.58227,-163.33153 71.42383,-169.44928 68.61252,-167.82621 66.86332,-168.94988 65.08494,-167.3268 63.06635,-168.32562 60.95803,-169.19958 57.78012,-178.81319 52.81242,-179.68715 49.36395,-156.33982 51.66567,-147.10077 57.57987,-132.99248 50.64775,-125.06864 48.47853,-122.77792 48.20739,-122.79361 48.96502,-114.27401 49.0165,-105.50023 48.98562,-95.44302 49.00621,-94.58354 48.77926,-93.98733 48.65504,-92.62231 48.44732,-91.36712 48.1132,-89.28037 48.03982,-89.3902 47.70303,-87.27206 47.58675,-84.66755 46.67951,-83.80582 46.24294,-83.69599 45.82905,-82.29959 44.45688,-82.42511 43.00581,-83.35081 41.77757,-81.45234 41.91782,-79.06748 42.78742,-78.94196 43.42887,-76.76409 43.78788,-74.78716 45.05407,-71.57149 45.0376,-70.47319 45.67704,-70.12802 46.61188,-69.28076 47.39295,-68.06642 47.28194,-67.73693 45.7489,-67.36038 45.32028,-66.95244 45.06597,-66.90537 44.48682,-66.07178 42.3335))", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "TaxonKey is one of (Urocyon cinereoargenteus (Schreber, 1775), Rattus rattus (Linnaeus, 1758), Rattus norvegicus (Berkenhout, 1769), Rattus exulans (Peale, 1848), Procyon lotor (Linnaeus, 1758), Philander opossum (Linnaeus, 1758), Peromyscus polionotus (Wagner, 1843), Peromyscus maniculatus (Wagner, 1845), Mus musculus Linnaeus, 1758, Microtus pennsylvanicus (Ord, 1815), Mephitis mephitis (Schreber, 1776), Marmosa Gray, 1821, Heterodon platyrhinus (Latreille, 1801), Herpestes auropunctatus (Hodgson, 1836), Felis rufus Schreber, 1777, Erinaceus europaeus Linnaeus, 1758, Didelphis virginiana Kerr, 1792, Didelphis marsupialis Linnaeus, 1758, Canis lupus Linnaeus, 1758, Caluromys philander (Linnaeus, 1758), Bos taurus Linnaeus, 1758, Blarina brevicauda (Say, 1823), Arvicanthis niloticus (É.Geoffroy, 1803))", "Year 2000-2025" ] } The dataset includes 24771 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002628-250424135625364/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 | 0.003 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.236 | 0.332 |
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".