UBC Institute of Fisheries Field Record B.C. 59-307a
Bibliographic record
Abstract
all specimens died in the Vancouver Aquarium, and were donated to the Fish Museum in May, 1959. Those including both freshwater and marine species from different region. Each one have not informations. [sic]; any; 37 C56 Tilapia mosambica Peters (1); 28 C66 Bathyagonus nigripinnis Gilbert (1); 27 C22 Rasbora hetermorpha Duncker (1); 3 C64 Radulinus asprellus Gilbert (1); 12 C56 Sympysodon discus Heckel (1); 8 C19 Anostomus anostomus (Linnaeus) (1); 10 C58 Toxotes gaculator (Palles) (3); 4 C55 Actinicola percula (Lacepède) (6); 2 C7 Hyrdolagus colliei (Lay & Bennett) (1); 32 C13 Osteoglossum bicirrhosum Vandell (2); 15 C66 Agonus acipenserinus Tlesius (4); [struck-through, illegible entry] (1); 23 C80 Lycodes diaptera Glbert (1); 34 C8 Scaphirhynchus platorynchus (Rafinesque) [handwritten note] (1 to U of Man.) (2) [strikethrough] (3); 38 C22 Brachydanio rerio (Hamilton-Buchanan) (1); 30 C22 Carassius carassius (Linnaeus) (7); 31 C22 Barbus semifasciolatus Var (1); 33 C25 Corydoras aeneus (Gill) (3); 17 C32 Mollienisia latupnna LeSueur (2); 14 C32 Xiphophorus helleri Heckel (1); 9 C59 Trichogaster trichopterus (Pallas) (2)
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 | 0.002 | 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) | 0.636 | 0.510 |
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".