UBC Institute of Fisheries Field Record B.C. 63-17
Bibliographic record
Abstract
C11 Anchoviella sp. (18); C36 Holocentrus suborbitalis (6); C76 Rupiscartes atlanticus (Cuvier & Valenciennes) (ser.); C40 Apogon retrosella (1); C87 Tetraodon setosus (1); C58 Chaetodon humeralis (6); C44 Mugil curema (1); C40 Alphestes multiguttatus (4); C55 Pomacentrus flavilatus [handwritten note] NMC (6); C75 Malacoctenus gillii (Ser); C87 Spheruides maculatus (1); C75 Labrisomus xanti (Ser); C31 Muraena lentiginosa (Ser); C76 Chaenopsidae (3); C31 Myrichthys tigrinus (12); C61 Scorpaenidae Drum #6 downstairs (1); C49 Hoplopagrus guntheri (3); C86 Prionurus punctatus (1); [handwritten note indicating Scorpaenidae:] 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 | 0.005 | 0.008 |
| 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) | 0.368 | 0.251 |
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".