Bibliographic record
Abstract
A dataset containing 629099 species occurrences available in GBIF matching the query: { "and" : [ "HasCoordinate is true", "HasGeospatialIssue is false", "TaxonKey is one of (Abelmoschus esculentus (L.) Moench, Abronia latifolia Eschsch., Abronia maritima Nutt. ex S.Watson, Abrus precatorius L., Abutilon grandiflorum G.Don, Abutilon palmeri A.Gray, Abutilon theophrasti Medik., Acacia angustissima (Mill.) Kuntze, Acacia longifolia (Andrews) Willd., Acer macrophyllum Pursh, Acer negundo L., Acer palmatum Thunb., Acer rubrum L., Acer saccharinum L., Achillea millefolium L., Achyranthes japonica (Miq.) Nakai, Acmispon americanus (Nutt.) Rydb., Acmispon americanus var. americanus, Acmispon argyraeus var. argyraeus, Acmispon brachycarpus (Benth.) D.D.Sokoloff, Acmispon decumbens var. decumbens, Acmispon glaber (Vogel) Brouillet, Acmispon glaber (Vogel) Brouillet, Acmispon micranthus (Nutt. ex Torr. & A.Gray) Brouillet, Acmispon oroboides (Kunth) Brouillet, Acmispon plebeius (Brandegee) Allred, Ottleya strigosa (Nutt.) D.D.Sokoloff, Acmispon heermannii var. orbicularis (A.Gray) Brouillet, Acmispon wrangelianus (Fisch. & C.A.Mey.) Sokoloff, Aconitum columbianum Nutt., Aconitum delphiniifolium Hort.Prag. ex Steud., Adelinia grande (Douglas ex Lehm.) J.I.Cohen, Adenophyllum porophylloides (A.Gray) Strother, Adenostoma fasciculatum Hook. & Arn., Aeonium arboreum (L.) Webb & Berthel., Aesculus californica (Spach) Nutt., Aesculus glabra Willd., Aesculus hippocastanum L., Aesculus pavia L., Aesculus sylvatica W.Bartram, Agalinis edwardsiana Pennell, Agalinis filifolia (Nutt.) Raf., Agalinis tenuifolia (Vahl) Raf., Agapanthus africanus (L.) Hoffmanns., Agapanthus praecox Willd., Agastache breviflora (A.Gray) Epling, Agastache foeniculum (Pursh) Kuntze, Agastache mexicana (Kunth) Lint & Epling, Agastache nepetoides (L.) Kuntze, Agastache occidentalis (Piper) A.Heller, Agastache scrophulariifolia (Willd.) Kuntze, Agastache urticifolia (Benth.) Kuntze, Agave palmeri Engelm., Agave striata Zucc., Ageratina adenophora (Spreng.) R.M.King & H.Rob., Ageratina altissima (L.) R.M.King & H.Rob., Ageratina aromatica (L.) Spach, Ageratum houstonianum Mill., Agnorhiza reticulata (Greene) W.A.Weber, Agoseris aurantiaca (Hook.) Greene, Agoseris glauca (Nutt. ex Pursh) Raf., Agoseris parviflora (Nutt.) D.Dietr., Agrimonia striata Michx., Ajuga reptans L., Albizia julibrissin Durazz., Alcea rosea L., Alcea rugosa Alef., Aletris aurea Walter, Aletris farinosa L., Alhagi maurorum Medik., Aliciella hutchinsifolia (Rydb.) J.M.Porter, Aliciella leptomeria (A.Gray) J.M.Porter, Alisma triviale Pursh, Alliaria petiolata (M.Bieb.) Cavara & Grande, Allionia incarnata L., Allium acuminatum Hook., Allium amplectens Torr., Allium bisceptrum S.Watson, Corethrogyne filaginifolia (Hook. & Arn.) Nutt., Coreopsis verticillata L., Coreopsis tripteris L., Coreopsis tinctoria Nutt., Coreopsis palmata Nutt.)", "Country is one of (Canada, Mexico, United States of America)" ] } The dataset includes 629099 records from 438 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004175-231002084531237/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 | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.210 | 0.333 |
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".