Bibliographic record
Abstract
A dataset containing 9909811 species occurrences available in GBIF matching the query: { "and" : [ "Country is Canada", "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Effects of organic matter manipulation on archaeal, bacterial, and fungal community assembly, Ontario Breeding Bird Atlas 2001-2005, International Barcode of Life project (iBOL), Royal Ontario Museum - Mammalogy, Canadian Museum of Nature Phycology Collection, Royal Ontario Museum - Entomology Collection, Canadian Museum of Nature Herbarium, Royal Ontario Museum Green Plant Herbarium (TRT), Carnegie Museum of Natural History Herbarium, Royal Ontario Museum - Mycology, University of Guelph Insect Collection (DEBU), Centre for Biodiversity Genomics - Canadian Specimens, INSDC Sequences, eButterfly Surveys, Royal Ontario Museum - Ornithology, Great Backyard Bird Count, Pl@ntNet automatically identified occurrences, Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Royal Ontario Museum - Ichthyology, Canadian Lakes Loon Survey, Marie-Victorin Herbarium (MT) - Plantes vasculaires, Ontario Breeding Bird Atlas 1981-1985, Canadian Museum of Nature Bird Collection, Marsh Monitoring Program - Birds, University of Michigan Herbarium, USGS Great Lakes Science Center Research Vessel Catch Information System Trawl, Royal Ontario Museum - Herpetology Collection, Herbier du Québec (QUE) - Collection de plantes vasculaires, Royal Ontario Museum - Invertebrate Zoology, The New York Botanical Garden Herbarium (NY), University of British Columbia Herbarium (UBC) - Bryophytes Collection, Canadian Museum of Nature Amphibian and Reptile Collection, Lyman Entomological Museum (LEMQ), Canadian Museum of Nature Fish Collection, Odonata Central)", "Geometry POLYGON((-79.5597 44.60454,-74.69501 47.16099,-79.47043 51.49737,-80.4711 52.00073,-88.41395 47.81537,-86.4161 45.67366,-84.2584 45.84819,-80.3479 44.50826,-79.5597 44.60454))" ] } The dataset includes 9909811 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045921-251025141854904/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 | 0.005 |
| 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 | 0.003 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.331 | 0.390 |
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; the direct Gemma label and the distilled Codex classifier 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".