Bibliographic record
Abstract
Merragata hebroides White, 1877 Merragata hebroides White, 1877: 114. Syntype (s): ♀, Hawaii Islands, Oahu (BMNH). Merragata foveata Drake, 1917: 103. Synonymized by Blatchley (1926: 610). Holotype: USA, Ohio, Summit Co., Ira (USNM). Merragata slossoni Van Duzee, 1921: 133. Synonymized by Drake (1952: 194). Holotype: ♂, USA, Florida, Biscayne Bay (CASC). Merragata lindbergi Poisson, 1954a: 2. Synonymized by Drake & Chapman (1958: 319, listed) and Drake & Cobben (1960: 36). Syntypes: 2 ♂ 4 ♀, Canary Islands, Tenerife, Puerto de San Juan (MZHF). Material examined. CANARY ISLANDS: Gran Canaria: Maspalomas, 282-120, sand dunes, water, 3.viii.2003, 3 ♀, M. Mantič lgt. (2 ♀ NMPC, 1 ♀ MMHC). Distribution. North Africa: Canary Islands (Poisson 1954a, b; Aukema et al. 2013b). Nearctic and Neotropical Region: From southern Canada to Argentina (except Chile), West Indies and Netherland Antilles (Drake 1917, Blatchley 1926, Drake & Chapman 1958, Drake & Cobben 1960, Polhemus & Polhemus 1988). Hawaiian Islands (White 1877). The distribution in Cape Verde Islands (Drake & Chapman 1958) is an apparent error for Canary Islands, which were not listed by those authors. Comment. The synonym Merragata lindbergi was described according to 2 male and 4 female syntypes deposited in MZHF. However, in the collection of NMPC there is deposited also one female ‘paratype’ of M. lindbergi (see Kment & Kolínová 2013). Most probably there are the same problems with redundant types as in H. pusillus canariensis (see Comment on p. 15) but we did not receive the detailed information from L. Huldén to be provided here.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".