Bibliographic record
Abstract
A dataset containing 4656 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Cirsium arvense)", "HasGeospatialIssue is false", "OccurrenceStatus is Present", { "or" : [ "StateProvince is one of (British Columbia, British Columbia (BC), British Columbia (Prov.), B.C., British Columbia / Colombie Britanique, British Columbia / Colombie Britannique, Victoria, On L. Rutledge farm, 16km N of Hudson''s Hope, British Columbia, Canada.)", "Geometry POLYGON ((-114.081253 49.001844, -114.735026 49.603591, -114.647124 49.731581, -114.800953 50.35948, -116.284302 51.337476, -116.707331 51.801822, -116.910605 51.706608, -117.333634 52.133488, -117.839072 52.254709, -117.718206 52.372246, -118.003888 52.472743, -118.21815 52.385658, -118.492844 52.905589, -118.613421 52.875761, -118.778237 53.140181, -118.997993 53.235633, -119.052932 53.126998, -119.92646 53.605544, -119.706704 53.612062, -120.003374 53.807139, -119.99788 60.001733, -139.059239 59.998986, -137.619841 59.243415, -137.504469 58.910319, -135.488213 59.792344, -133.527126 58.499435, -132.258212 57.210685, -131.824195 56.604862, -130.143355 56.12106, -129.99502 55.285372, -130.665274 54.721448, -133.159498 54.527457, -133.599009 53.468431, -131.950843 52.311837, -130.148849 51.189673, -127.654971 49.802541, -125.0511 48.476563, -123.166986 48.231991, -123.254888 48.698212, -122.996675 48.781533, -123.309827 49.012654, -114.081253 49.001844))" ] } ] } The dataset includes 4656 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033665-251120083545085/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 | 0.006 | 0.010 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.263 | 0.380 |
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".