Bibliographic record
Abstract
A dataset containing 2970922 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Abelmoschus esculentus, Achyranthes japonica, Albizia lebbeck, Albizia procera, Allium cepa, Allium sativum, Amaranthus retroflexus, Amaranthus spinosus, Amaranthus viridis, Ammophila arenaria, Ananas comosus, Antirrhinum majus, Asclepias, Asparagus officinalis, Astragalus sinicus, Beta vulgaris, Beta vulgaris cicla, Bougainvillea spectabilis, Brachiaria, Brassica oleracea capitata, Callistemon viminalis, Capsella bursa-pastoris, Capsicum annuum, Capsicum chinense, Capsicum frutescens, Carica papaya, Carya illinoinensis, Casuarina, Chamaerops humilis, Chenopodium album, Cicer arietinum, Citrus, Coffea, Coffea arabica, Coffea canephora, Cordia myxa, Coriandrum sativum, Cucumis sativus, Cucurbita, Cynara cardunculus scolymus, Cyperus rotundus, Dahlia pinnata, Digitaria, Dioscorea, Duranta erecta, Ensete ventricosum, Ficus religiosa, Fragaria, Glycine max, Gossypium hirsutum, Helianthus annuus, Hibiscus rosa-sinensis, Hibiscus sabdariffa, Hordeum vulgare, Hyphaene thebaica, Indigofera hirsuta, Lamium amplexicaule, Lavandula intermedia, Melia azedarach, Momordica charantia, Musa, Musa paradisiaca, Olea europaea, Oryza sativa, Panicum virgatum, Paulownia fortunei, Phaseolus vulgaris, Phoenix canariensis, Phoenix dactylifera, Phragmites, Pistacia vera, Pithecellobium dulce, Pongamia pinnata, Prosopis juliflora, Prunus persica, Psidium guajava, Pyrus communis, Rosa chinensis, Sabal palmetto, Saccharum officinarum, Solanum aethiopicum, Solanum lycopersicum, Solanum melongena, Solanum tuberosum, Sonchus asper, Spinacia oleracea, Tagetes erecta, Triticum aestivum, Ulmus parvifolia, Urochloa platyphylla, Vernonia cinerea, Veronica persica, Vigna unguiculata, Vitex agnus-castus, Vitis, Vitis aestivalis, Vitis labrusca, Vitis rotundifolia, Vitis vinifera, Washingtonia robusta, Youngia japonica, Zea mays, Zingiber officinale, Ziziphus spina-christi)", "Country is one of (Algeria, Cameroon, Congo, Democratic Republic of the, Côte d’Ivoire, Egypt, Ethiopia, Gabon, Ghana, Kenya, Madagascar, Morocco, Nigeria, Uganda, Zimbabwe, China, India, Oman, Pakistan, Saudi Arabia, Korea, Republic of, Türkiye, Uzbekistan, Viet Nam, France, Portugal, Mexico, United States of America, Australia, Brazil, Chile, Ecuador, Peru, Canada)", "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "Year is greater than 1980" ] } The dataset includes 2970922 records from 4504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063193-251120083545085/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 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.281 | 0.369 |
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".