Bibliographic record
Abstract
A dataset containing 67975 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is Specimen", "Country is Canada", "Geometry POLYGON((-108.35774 48.60944,-69.87642 45.2137,-55.29067 44.9706,-52.85972 48.61704,-52.25197 52.26347,-64.52832 60.40718,-74.73835 63.81053,-79.60026 66.60613,-84.70527 70.25256,-89.93183 69.76637,-95.64458 69.15863,-102.32972 68.67244,-112.41819 69.15863,-122.02048 70.98185,-130.89348 71.3465,-141.8328 70.25256,-140.37422 59.07016,-128.73221 52.37743,-127.10651 50.72134,-125.08577 50.02244,-122.70039 48.7158,-108.35774 48.60944))", "TaxonKey is Actinopterygii" ] } The dataset includes 67975 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0436144-210914110416597/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 | 0.002 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.228 | 0.339 |
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".