Bibliographic record
Abstract
A dataset containing 56757 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Observation", "BasisOfRecord is Machine Observation", "BasisOfRecord is Living Specimen", "BasisOfRecord is Fossil", "BasisOfRecord is Literature Occurrence", "BasisOfRecord is Specimen", "BasisOfRecord is Material sample", "BasisOfRecord is Human Observation" ] }, { "or" : [ "Country is United States of America", "Country is Canada", "Country is Mexico" ] }, "Year 1950-2018", "HasCoordinate is true", { "or" : [ "TaxonKey is Adenostoma fasciculatum Hook. & Arn.", "TaxonKey is Arctostaphylos glauca Lindl.", "TaxonKey is Ceanothus spinosus Torr. & A.Gray", "TaxonKey is Ceanothus spinosus Nutt.", "TaxonKey is Cercocarpus betuloides Nutt.", "TaxonKey is Cercocarpus betuloides Nutt. ex Torr. & A.Gray", "TaxonKey is Eriogonum fasciculatum Benth.", "TaxonKey is Heteromeles arbutifolia (Lindl.) M.Roem.", "TaxonKey is Malosma laurina (Nutt. ex Torr. & A.Gray) Engl.", "TaxonKey is Quercus agrifolia Née", "TaxonKey is Quercus berberidifolia Liebm.", "TaxonKey is Salvia leucophylla Greene", "TaxonKey is Salvia mellifera Greene", "TaxonKey is Artemisia californica Less.", "TaxonKey is Baccharis pilularis DC.", "TaxonKey is Baccharis salicifolia (Ruiz & Pav.) Pers.", "TaxonKey is Epilobium canum (Greene) P.H.Raven", "TaxonKey is Eriophyllum confertiflorum (DC.) A.Gray", "TaxonKey is Fraxinus dipetala Hook. & Arn.", "TaxonKey is Hazardia squarrosa (Hook. & Arn.) Greene", "TaxonKey is Malacothamnus fasciculatus (Nutt. ex Torr. & A.Gray) Greene", "TaxonKey is Mimulus aurantiacus Renjifo", "TaxonKey is Mimulus aurantiacus Curtis", "TaxonKey is Prunus ilicifolia (Nutt. ex Hook. & Arn.) D.Dietr.", "TaxonKey is Rhus ovata S.Watson", "TaxonKey is Rhus trilobata Nutt.", "TaxonKey is Salix exigua Nutt.", "TaxonKey is Sambucus nigra L.", "TaxonKey is Trichostema lanatum Benth." ] }, "HasGeospatialIssue is false" ] } The dataset includes 56757 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000231-180920211646547/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 | 0.007 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.244 | 0.356 |
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".