Bibliographic record
Abstract
A dataset containing 1192 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "PublishingCountry is Canada", "Country is Canada" ] }, "TaxonKey is one of (Salvinia Ség., Salvinia P.Micheli ex Adans., 1763, Salvinia Guett., 1762, Salvinia Alonso, Ibanez & Ponte-Lira, 2003, Salvinia ×delasotae C.V.Miranda & Schwartsb., Salvinia ×molesta D.S.Mitch., Salvinia attenuata (Lesquereux, 1875), Salvinia auriculata Aubl., Salvinia auriculata var. auriculata, Salvinia auriculata var. major C.V.Miranda & Schwartsb., Salvinia auriculata var. sprucei Baker ex Kuhn, Salvinia biloba Raddi, Salvinia coahuilensis Weber, 1973, Salvinia cucullata Roxb., Salvinia cucullata Roxb. ex Bory, Salvinia cucullata Roxb. ex Wall., 1829, Salvinia cyclophylla (Lesquereux, 1873), Salvinia elliptica Newberry, 1894, Salvinia formosa Heer, 1859, Salvinia graui Herbst et al., 1987, Salvinia hainanensis Wang et al., 2014, Salvinia hastata Desv., Salvinia intertrappea Mahabale, 1950, Salvinia martynii Kopp, Salvinia michelii Loefl., Salvinia minima Baker, Salvinia natans (L.) All., Salvinia nuriana de la Sota & Cassa, Salvinia nymphellula Desv., Salvinia oblongifolia Mart., Salvinia preauriculata Berry, 1925, Salvinia sprucei Kuhn, Salviniaceae, Salviniales)" ] } The dataset includes 1192 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016160-250402121839773/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 | 0.006 | 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) | 0.239 | 0.374 |
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".