Bibliographic record
Abstract
A dataset containing 1111478 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Haemorhous mexicanus (P.L.Statius Müller, 1776), Buteo lineatus (Gmelin, 1788), Tringa flavipes (J.F.Gmelin, 1789), Gavia stellata (Pontoppidan, 1763), Oxyura jamaicensis (J.F.Gmelin, 1789))", "Country is Canada", "OccurrenceStatus is Present", "HasCoordinate is true", "HasGeospatialIssue is false", "Year is greater than or equal to 2000", { "not" : { "BasisOfRecord" : [ "is one of (Fossil, Living Specimen)" ] } }, "Geometry POLYGON ((-111.2485 41.67354, -52.36458 41.67354, -52.36458 59.54304, -111.2485 59.54304, -111.2485 41.67354))", { "or" : [ "CoordinateUncertaintyInMeters is less than 1000", "CoordinateUncertaintyInMeters is null" ] } ] } The dataset includes 1111478 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063996-240506114902167/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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.602 |
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; both teacher heads 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".