Bibliographic record
Abstract
A dataset containing 685246 species occurrences available in GBIF matching the query: { "and" : [ "Country is Canada", "Geometry POLYGON((-82.34502 53.75917,-89.61138 49.66576,-86.85016 48.33102,-85.03357 46.00983,-81.18241 45.34987,-77.33124 45.24764,-75.73264 48.23431,-77.69456 50.73547,-80.01979 52.09489,-82.34502 53.75917))", "HasCoordinate is true", "HasGeospatialIssue is false", "TaxonKey is one of (Falco sparverius, Pelecanus erythrorhynchos, Haliaeetus leucocephalus, Riparia riparia, Hirundo rustica, Strix varia, Chlidonias niger, Dolichonyx oryzivorus, Chroicocephalus philadelphia, Aegolius funereus, Buteo platypterus, Cardellina canadensis, Setophaga cerulea, Chaetura pelagica, Chordeiles minor, Corvus corax, Accipiter cooperii, Sturnella magna, Megascops asio, Antrostomus vociferus, Contopus virens, Hesperiphona vespertina, Vermivora chrysoptera, Ammodramus savannarum, Ardea herodias, Strix nebulosa, Bubo virginianus, Podiceps auritus, Rallus elegans, Setophaga kirtlandii, Ixobrychus exilis, Asio otus, Parkesia motacilla, Falco columbarius, Circus hudsonius, Aegolius acadicus, Accipiter gentilis, Contopus cooperi, Contopus cooperi, Pandion haliaetus, Falco peregrinus, Melanerpes erythrocephalus, Phalaropus lobatus, Buteo lineatus, Buteo jamaicensis, Euphagus carolinus, Accipiter striatus, Asio flammeus, Cathartes aura, Hylocichla mustelina, Coturnicops noveboracensis)" ] } The dataset includes 685246 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025762-251120083545085/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 | 0.011 |
| 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) | 0.267 | 0.373 |
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".