UBC Institute of Fisheries Field Record B.C. 65-84
Bibliographic record
Abstract
C64 Dasycottus setiger (3 in 2 jars); C64 Ulca bolini (1); C33 Theragra chalcogrammus (2); C79 Lumpenus sagitta (16 in 2 jars); C64 Myoxocephalus jaok (1, 2 in Drum 10); C10 Clupea pallasii (2); C14 Thaleichthys pacificus (13 in 2 jars); C38 Limanda aspera (2 in 2 jars); C64 Hemilepidotus jordani (10 in 3 jars); C79 Lumpenella longirostris (3 in 2 jars); C63 Anoplopoma fimbria (4); C79 Leptoclinus maculatus (4 in 2 jars); C80 Lycodes brevipes (ser in 3 jars); C80 Lycodes palearis (1); C72 Trichodon trichodon (1); C64 Myoxocephalus scorpius (Drum 10) (2); C64 Myoxocephalus polyacanthocephalus (2, 1 in Drum 10); [strikethrough] C33 Gadus macrocephalus (1 in Drum 9, 1 in Drum 12) C38 Pleuronectes quadrituberculatus (1 in Drum 9, 1 in Drum 12); [handwritten note] Sent to Nat. Mus. Canada; C38 Atheresthes stomias (7)
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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 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) | 0.564 | 0.459 |
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".