Rathbunella alleni Gilbert 1904
Bibliographic record
Abstract
Rathbunella alleni Gilbert, 1904. Rough Ronquil, Stripefin Ronquil, and Stripedfin Ronquil. To 20.5 cm (8.1 in) SL (Orange County Sanitation District, unpublished data, from Danny Tang, pers. comm. to M.L.); about 24.3 cm (9.6 in) TL. Perhaps are far north as Barkley Sound, Vancouver Island (based on a photograph reviewed by Duane Stevenson, pers. comm. to M.L.); Marin County, north of San Francisco Bay, northern California (Kiernan 1990) to Bahía San Carlos, northern Baja California (Stevenson and Matarese 2005). Benthic; depth: 2–146 m (6–479 ft) (min.: Kiernan 1990; max.: Personal communication: Los Angeles County Museum of Natural History Fish Collection, Los Angeles, California).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.056 | 0.019 |
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".