Psychrolutes phrictus Stein & Bond 1978
Bibliographic record
Abstract
Psychrolutes phrictus Stein & Bond, 1978. Blob Sculpin or Giant Blob Sculpin. To about 70 cm (27.5 in) TL (Eschmeyer and Herald 1983). Sea of Okhotsk and Pacific side of Honshu, Japan to Commander Islands, and western Bering Sea north to Cape Navarin (Mecklenburg et al. 2002), to Bering Sea as far northward as 59°20’N, 178°20’W (Maslenikov et al. 2013) to Pacific Ocean off San Diego, southern California (Eschmeyer and Herald 1983); one record from off the coast of Guerrero, Mexico (17°45’N, 101°59’W) (Aguirre-Villaseñor et al. 2016). Benthic; depth: 114–2,800 m (374–9,186 ft) (min.: DFO; max.: Stein and Bond 1978). Although washed up on a beach once at Adak Island in Alaska (Mecklenburg et al. 2002) and caught once in shallow water off Westport, Washington (Schoener and Fluharty in Wooster and Fluharty 1985), these are rare records for this bottom-dwelling, deepwater species, and likely reflect abnormal circumstances. Coad in Coad and Reist (2018) report on two captures from the Canadian Beaufort Sea (CMNFI 2013-0029) and CMNFI 2013-0030).
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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".