Bibliographic record
Abstract
A dataset containing 6991 species occurrences available in GBIF matching the query: { "and" : [ { "and" : [ "Country is one of (United States of America, Canada, Mexico, United States Minor Outlying Islands, Puerto Rico, Virgin Islands (U.S.), American Samoa, Guam, Northern Mariana Islands)", { "not" : { "Issue" : [ "is Country coordinate mismatch" ] } } ] }, { "and" : [ "Country is one of (Canada)", "StateProvince is one of (british columbia, british columbia (prov.), british columbia / colombie britanique, british columbia prov, british columbia prv, british columbia canada, british columbia province, british columbia, vancouver island, british columbia., british columbia prov., british columbia ?, british columbia (英屬哥倫比亞), british columbia; vancouver island, british columbia?, british columbia v, british columbia, liard river hot springs, alaska highway mile 496.5, by the easternmost swimming pool (spring), british columbia, mcleod lake district, british columbia; frank island, british columbia; queen charlotte archipel; graham island, british columbia (uapc-alta), british columbia (英屬哥倫比亞省))", "TaxonKey is one of (Ephemeroptera, Plecoptera, Trichoptera)" ] } ] } The dataset includes 6991 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277168-220831081235567/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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.256 | 0.347 |
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".