Bibliographic record
Abstract
A dataset containing 157842888 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Lupinus oreganus A.Heller, Macaria colata (Grote, 1881), Macaria granitata Guenée, 1857, Masonhalea inermis (Nyl.) Lumbsch, Nelsen & A.Thell, Massalongia microphylliza (Nyl.) Henssen, Megaphorus willistoni (Cole, 1964), Melanelia culbersonii (Hale) A.Thell, Melanoplus spretus (Walsh, 1866), Mesodon clausus (Say, 1821), Micranthes nelsoniana var. carlottae (Calder & Savile) Gornall & H.Ohba, Mirounga angustirostris (Gill, 1866), Chordata, Mycena hudsoniana A.H.Sm., Myelochroa obsessa (Ach.) Elix & Hale, Myotis ciliolabrum (Merriam, 1886), Myotis keenii (Merriam, 1895), Myoxocephalus thompsonii (Girard, 1851), Myriolecis carlottiana (C.J.Lewis & Śliwa) Śliwa, Zhao Xin & Lumbsch, Myrmecocystus testaceus Emery, 1893, Nardia breidleri (Limpr.) Lindb., Nardia insecta Lindb., Neohelix albolabris (Say, 1817), Nephroma occultum Wetm., Nerodia sipedon sipedon, Niebla cephalota (Tuck.) Rundel & Bowler, Niphotrichum panschii (Müll.Hal.) Bedn.-Ochyra & Ochyra, Notophthalmus viridescens (Rafinesque, 1820), Notorynchus cepedianus (Péron, 1807), Noturus insignis (Richardson, 1836), Oncorhynchus nerka (Walbaum, 1792), Oncorhynchus nerka (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Oncorhynchus tshawytscha (Walbaum, 1792), Opheodrys vernalis (Harlan, 1827), Oreocarya celosioides Eastw., Oreohelix cooperi (W.G.Binney, 1858), Oreonetides flavus (Emerton, 1915), Ornithodoros hermsi Wheeler, Herms & Meyer, 1935, Osmia illinoensis Robertson, 1897, Otobius megnini Dugès, 1883, Oxyopes salticus Hentz, 1845, Pachybrachis calcaratus Fall, 1915, Packera paupercula var. savannarum R.R.Kowal, Packera subnuda var. moresbiensis (Calder & Roy L.Taylor) Trock)", "HasGeospatialIssue is false", "HasCoordinate is true", "OccurrenceStatus is Present", { "not" : { "BasisOfRecord" : [ "is one of (Fossil)" ] } }, "Country is Canada", { "or" : [ "CoordinateUncertaintyInMeters is less than 32000", "CoordinateUncertaintyInMeters is null" ] } ] } The dataset includes 157842888 records from 680 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000474-250515123054153/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) | 0.305 | 0.427 |
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".