Cryptolaria triserialis Fraser 1913
Bibliographic record
Abstract
Cryptolaria triserialis Fraser, 1913b Cryptolaria (?) borealis Levinsen, 1893: 173, pl. 5, fig. 21. Cryptolaria triserialis Fraser, 1913b: 170, pl. 13, figs. 1, 2. Grammaria borealis.— Stechow, 1923: 147. Acryptolaria triserialis.— Fraser, 1944a: 213, pl. 42, figs. 194a–c. Type material. None known to exist. Type locality. Canada, Nova Scotia: Chedabucto Bay, Canso, off Durells Island, 37 m (Fraser 1913b). Current status. Invalid. Remarks. No collections of Cryptolaria triserialis Fraser, 1913b, type or otherwise, could be located during this study. The species was not mentioned as part of the Fraser Hydroid Collection by Arai (1977), and it was not found by us during this study in either the online database, or the collections, or a museum catalogue of the collection. Cairns et al. (2002) followed Fraser (1944a) in assigning the species to Acryptolaria Norman, 1875, as A. triserialis. However, Kramp (1932) included C. triserialis in the synonymy of Grammaria borealis (Levinsen, 1893), a conclusion adopted by Vervoort (1972), Schuchert (2001a), Antsulevich (2015), and WoRMS.
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) | 0.010 | 0.004 |
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".