Bibliographic record
Abstract
A dataset containing 14938 species occurrences available in GBIF matching the query: { "and" : [ "VerbatimScientificName is one of (Abelia grandiflora, Abelmoschus esculentus, Abelmoschus manihot, Abelmoschus moschatus, Abies alba, Abies firma, Abies homolepis, Abrus precatorius, Abutilon hirtum, Abutilon indicum, Abutilon pictum, Abutilon theophrasti, Acacia angustissima, Acacia auriculiformis, Acacia baileyana, Acacia confusa, Acacia cultriformis, Acacia cyclops, Acacia dealbata, Acacia decurrens, Acacia elata, Acacia farnesiana, Acacia leptocarpa, Acacia longifolia, Acacia macracantha, Acacia mangium, Acacia mearnsii, Acacia melanoxylon, Acacia nilotica, Acacia paradoxa, Acacia podalyriifolia, Acacia polystachya, Acacia pycnantha, Acacia redolens, Acacia retinodes, Acacia retusa, Acacia saligna, Acacia suma, Acacia tortuosa, Acacia verticillata, Acaciella angustissima, Acaena magellanica, Acaena novae-zelandiae, Acaena pallida, Acalypha alnifolia, Acalypha alopecuroidea, Acalypha arvensis, Acalypha australis, Acalypha chamaedrifolia, Acalypha hispida, Acalypha indica, Acalypha poiretii, Acalypha wilkesiana, Acanthocereus tetragonus, Acanthophora spicifera, Acanthospermum australe, Acanthospermum hispidum, Acanthospermum humile, Acanthus mollis)", "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)", "Country is one of (United States of America, Canada, Mexico)", "HasCoordinate is true", "OccurrenceStatus is Present", "Year is greater than or equal to 1990", "CoordinateUncertaintyInMeters is less than 1000", "ScientificName is not null", "DecimalLongitude is not null", "DecimalLatitude is not null" ] } The dataset includes 14938 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009177-240216155721649/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 | 0.010 |
| 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) | 0.304 | 0.404 |
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".