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Record W6950379799 · doi:10.5281/zenodo.4631753

Nereidinae Blainville 1818

2018· article· en· W6950379799 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsSubgenusSubfamilyType speciesTaxonomy (biology)GenusHolotype

Abstract

fetched live from OpenAlex

Subfamily Nereidinae Blainville, 1818 Genus Composetia Hartmann-Schröder, 1985 Ceratonereis (Composetia) Hartmann-Schröder 1985: 49. Composetia Bakken & Wilson 2005: 520–521. Type species. Ceratonereis (Composetia) costae (Grube, 1840) (designated by Hartmann-Schröder 1985) Remarks. Composetia was erected as a subgenus of Ceratonereis Kinberg, 1865 by Hartmann-Schröder (1985: 49) with 29 species listed for the subgenus, including Ceratonereis (Composetia) burmensis (Monro, 1937) (Burma). Bakken & Wilson (2005) elevated Composetia to generic rank and assigned only two species to this genus, which are C. irritabilis (Webster, 1879) (Virginia, USA) and C. scotiae (Berkeley & Berkeley, 1956) (Nova Scotia, Canada). The other 27 species of Ceratonereis (Composetia), including type species of this newly ranked genus are excluded due to insufficient information. The status of these 27 Ceratonereis (Composetia) species remains unsolved today. Wu (1967) did report C. (C.) burmensis from Taiwan. Lee & Glasby (2015) synonymised Ceratonereis (Composetia) burmensis with Neanthes glandicincta Southern, 1921. Therefore, the report of Composetia in the present study represents the first record of the genus for Taiwan.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.004

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.

Opus teacher head0.034
GPT teacher head0.231
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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