UBC Institute of Fisheries Field Record B.C. 60-124
Bibliographic record
Abstract
C40 Centropomus unionensis Bocourt (1); C40 Lobotes pacificus Gilbert (Tag 5546) Tank 6 (1); C46 Citula dorsalis (Gill) (1); C50 Pomadasys panamensis (Steindachner) (2); C50 Orthopristis chalceus (Gunther) (2); C44 Polynemus approximans Lay & Bennett (2); C46 Vomer declivifrons Meek & Hildebrand (3); C46 Chloroscombrus orqueta Jordan & Gilbert (1); C52 Cynoscion reticulatus (Gunther) (1); C52 Nebris occidentalis Vaillant (2); C52 Micropogon altipinnis (Gunther) (2); C52 Bairdiella ensifera (Jordan & Gilbert) (1); C44 Chaenomugil proboscideus (Gunther) (2); C49 Lutianus guttatus (Steindachner) (4); C44 Polynemus opercularis (Gill) (2); C46 Hemicaranx leucurus (1); C28 Tylosurus fodiator Jordan & Gilbert (3); *[strikethrough] Cyclopsetta Querna (Jordan and Bollman) (3 in Drum 18) *Sent to National Museum of Canada
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.487 | 0.325 |
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".