Bibliographic record
Abstract
A dataset containing 5 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Living Specimen, Human Observation)", "DatasetKey is one of (Northern Gulf of St. Lawrence Fishes, iNaturalist Research-grade Observations, DFO Quebec Region Ecosystemic bottom trawl surveys 2004-2022, Référentiel taxonomique national (TAXREF)-Inventaire des Collectivités d'outre-mer et de la métropole issu des données biogéographiques de TAXREF)", { "or" : [ "Geometry POLYGON((-55.3752 51.77651,-56.12776 51.68901,-56.7753 51.37398,-57.24784 51.02396,-57.75538 50.48142,-58.17541 49.88637,-58.49043 49.48384,-58.78795 49.08132,-59.27799 48.80129,-59.57551 48.25876,-59.523 47.61121,-58.89296 47.26118,-57.94789 47.08617,-57.10783 47.17368,-56.35527 47.01616,-56.30277 46.57863,-55.62022 46.49113,-54.55264 46.59613,-53.73008 46.29861,-53.08253 46.28111,-52.6275 46.56113,-52.34748 47.08617,-52.41749 48.32876,-52.6625 48.9063,-53.32755 49.71136,-53.76508 50.3064,-54.46514 50.58642,-54.85016 50.90145,-54.92017 51.46149,-55.3752 51.77651))", "Geometry POLYGON((-78.6175 33.86448,-65.76487 37.02977,-58.53479 42.91169,-58.34218 45.78059,-60.35105 47.49249,-58.66705 51.19216,-62.93534 50.4803,-67.64903 49.6049,-73.94761 44.99817,-66.36254 48.29846,-65.79427 47.06851,-63.35734 45.32911,-71.24915 43.39367,-70.58179 42.13207,-76.1094 39.52892,-78.6175 33.86448))" ] }, "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "TaxonKey is one of (Sphyrna tiburo, Echinorhinus cookei)" ] } The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014005-250920141307145/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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.014 |
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".