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Record W6930466700 · doi:10.5281/zenodo.12720212

Sternoptyx diaphana Hermann 1781

2022· article· en· W6930466700 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicRemote Sensing and LiDAR Applications
Canadian institutionsnot available
Fundersnot available
KeywordsArchipelagoSAINTNew guineaGeographer

Abstract

fetched live from OpenAlex

Sternoptyx diaphana Hermann, 1781 (Fig. 5G) Diagnosis. Sternoptyx diaphana differs from congeners by the SAN slightly elevated, its height less than half the distance between the ventral body margin and its midline; posterior margin of AN and ventral margin of the anal-fin base forming a narrow V shaped line; body depth larger than standard length; 9–11 dorsal-fin rays, usually less than 11; 28 vertebrae, occasionally 27 or 29 (Baird, 1971; Borodulina, 1978; Aizawa, 2002; Lima et al., 2011). Geographical distribution. Circumglobal in tropical and temperate waters, between 55ºN and 55ºS (Baird, 1971; Borodulina, 1978; Pequeño, 1989; Quéro et al., 1990b; Lima et al., 2011; Harold, 2003; Harold et al., 2015; Sutton et al., 2020; Love et al., 2021). In the western Atlantic, the species is reported from off Canada to Argentina, including the Gulf of Mexico and the Caribbean Sea (Baird, 1971; Parin et al., 1974; Uyeno, Aizawa, 1983; McAllister, 1990; McEachran, Fechhelm, 1998; Harold, 2003; Nión et al., 2016; Judkins, Haedrich, 2018; Ramírez et al., 2019). The species was previously recorded off Maranhão, Rio Grande do Norte, Bahia, Espírito Santo, Rio de Janeiro, and Rio Grande do Sul States in Brazilian waters, in addition to the Fernando de Noronha and Saint Peter and Saint Paul archipelagos (Baird, 1971; Borodulina, 1978; Séret, Andreata, 1992; Figueiredo et al., 2002; Menezes et al., 2003; Braga et al., 2007; Costa, Mincarone, 2010; Lima et al., 2011; Lins Oliveira et al., 2015; Olivar et al., 2017; Judkins, Haedrich, 2018; Eduardo et al., 2018a, 2020a; Pinheiro et al., 2020). Larvae were recorded off Rio de Janeiro State (Bonecker et al., 2012, 2014). Sternoptyx diaphana is reported here based on specimens collected off Paraíba, Pernambuco, and Rio Grande do Norte States, including the seamounts, in addition to the Rocas Atoll and Fernando de Noronha Archipelago, between depths of 130 and 1,113 m (Fig. 3F). Specimens examined. 1,046 (11–43 mm SL): NPM 4152, 95 (14–43 mm), AB2#54B; NPM 4154, 2 (27–28 mm), AB2#56B; NPM 4155, 3 (26–31 mm), AB2#35; NPM 4156, 12 (19–35 mm), AB2#21; NPM 4157, 80 (14–35 mm), AB2#44A; NPM 4158, 10 (23–29 mm), AB2#58A; NPM 4160, 91 (13–38 mm), AB2#59A; NPM 4161, 17 (16–42 mm), AB2#16; NPM 4167, 23 (18–33 mm), AB2#41A; NPM 4185, 1 (21 mm), AB2#50A; NPM 4186, 466 (15–33 mm), AB2#39; NPM 4189, 1 (22 mm), AB2#56C; NPM 4215, 65 (11–36 mm), AB2#42A; NPM 4231, 173 (14–34 mm), AB2#53A; NPM 4327, 2 (12–17 mm), AB2#52A; NPM 4453, 1 (26 mm), AB2#44B; NPM 4506, 3 (17–32 mm), AB2#60B; NPM 5011, 1 (15 mm), AB2#53B.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.021
GPT teacher head0.223
Teacher spread0.202 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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