Bibliographic record
Abstract
A dataset containing 6527 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "Country is United States of America", "Country is Canada", "Country is Mexico", "Country is Jamaica", "Country is Puerto Rico", "Country is China", "Country is India", "Country is Japan", "Country is Chinese Taipei", "Country is Philippines", "Country is Indonesia", "Country is Pakistan", "Country is Korea, Republic of", "Country is Hong Kong", "Country is Thailand", "Country is Nepal", "Country is Viet Nam", "Country is Myanmar", "Country is Papua New Guinea", "Country is Bangladesh", "Country is Sri Lanka", "Country is Lao People’s Democratic Republic", "Country is Australia" ] }, "HasCoordinate is true", "HasGeospatialIssue is false", "TaxonKey is Lygodium japonicum (Thunb.) Sw." ] } The dataset includes 6527 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103587-200613084148143/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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.450 |
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; both teacher heads 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".