Bibliographic record
Abstract
A dataset containing 50 species occurrences available in GBIF matching the query: { "and" : [ "Continent is North America", "Country is Canada", "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", { "or" : [ "TaxonKey is Bouteloua dactyloides (Nutt.) Columbus", "TaxonKey is Veronicastrum virginicum (L.) Farw.", "TaxonKey is Vernonia fasciculata Blume", "TaxonKey is Pellaea gastonyi Windham", "TaxonKey is Agalinis gattingeri (Small) Small", "TaxonKey is Teloschistes chrysophthalmus (L.) Th.Fr.", "TaxonKey is Spiranthes magnicamporum Sheviak", "TaxonKey is Celtis occidentalis (Tuthill, 1939) Tuthill, 1939", "TaxonKey is Dalea villosa var. villosa", "TaxonKey is Solidago riddellii Frank", "TaxonKey is Agalinis aspera (Douglas ex Benth.) Britton", "TaxonKey is Cypripedium candidum Muhl. ex Willd.", "TaxonKey is Chenopodium subglabrum (S.Watson) A.Nelson", "TaxonKey is Platanthera praeclara Sheviak & M.L.Bowles", "TaxonKey is Symphyotrichum sericeum (Vent.) G.L.Nesom", "TaxonKey is Tradescantia occidentalis var. occidentalis", "TaxonKey is Festuca hallii (Vasey) Piper" ] }, "Year is greater than or equal to 2000" ] } The dataset includes 50 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142988-200613084148143/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) | 0.002 | 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 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.241 | 0.366 |
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".