UBC Institute of Fisheries Field Record B.C. 59-507
Bibliographic record
Abstract
*[strikethrough] C38 Lepidopsetta bilineata (Ayres) (1 in drum 18); *[strikethrough] C38 Atheresthes stomias (Jordan & Gilbert) (4 in drum 18); C33 Gadus macrocephalus Tilesius (2); C33 Theragra chalcogramma (Pallas) (1); *[strikethrough] C38 Glyptocephalus zachirus Lockington (8) in Drum 18; C61 Sebastodes brevispinis Bean (4); C61 Sebastodes paucispinis Ayres (1); C61 Sebastodes proriger (Jordan & Gilbert) (1); C38 Microstomus pacificus (Lockington) (6); *[strikethrough] C38 Hippoglossoides elassodon Jordan & Gilbert (1 in dr 18); C38 Parophrys vetulus Girard (3); C61 Sebastodes alutus (Girard) [handwritten note] July 1976 3 [strikethrough] (5); [handwritten note] *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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.533 | 0.419 |
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".