Bibliographic record
Abstract
A dataset listing the 513 species recorded in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Material sample, Specimen, Human Observation)", "Country is Canada", "Geometry POLYGON((-62.87642 81.73463,-61.96325 81.907,-60.83264 82.19773,-61.28297 82.88735,-63.82572 83.4637,-68.06363 83.59932,-71.65739 83.36199,-78.53977 83.4298,-82.57426 82.81954,-89.32103 82.61612,-92.0672 81.66683,-90.84668 81.12437,-88.98199 80.71753,-87.62586 80.51411,-86.77828 80.07337,-86.16802 79.76824,-85.35434 79.59872,-84.84579 79.19188,-87.21902 78.54772,-89.82958 77.19159,-89.66006 76.44571,-88.27002 75.97107,-83.82869 76.10668,-79.76029 75.90326,-77.69218 76.51352,-76.47166 77.53062,-73.42036 78.98846,-71.08103 79.63263,-66.60579 80.71753,-62.87642 81.73463))", "OccurrenceStatus is Present", "TaxonKey is Insecta" ] } The dataset's 513 records were derived from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114028-220831081235567/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 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.465 | 0.604 |
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".