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Record W2111149941 · doi:10.11646/zootaxa.1925.1.4

Apareiodon agmatos, a new species from the upper Mazaruni river, Guyana (Teleostei: Characiformes: Parodontidae)

2008· article· en· W2111149941 on OpenAlexaff
DONALD C. TAPHORN B., Hernán López‐Fernández, Calvin R. Bernard

Bibliographic record

VenueZootaxa · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicFish biology, ecology, and behavior
Canadian institutionsRoyal Ontario Museum
FundersAuburn UniversityNational Science Foundation
KeywordsCharaciformesPremaxillaBiologyGenusCharacidaeTributaryPaleontologyAnatomyMaxillaZoologyFish <Actinopterygii>FisheryGeographyCartography

Abstract

fetched live from OpenAlex

Apareiodon agmatos, new species, is described from the upper Mazaruni River and its tributaries, Essequibo Basin, in western Guyana. The new species is distinguishable from all other species of Parodontidae by having an incomplete lateral line. The scales of A. agmatos are more numerous than in any previously described parodontid. It has five incisorlike pedunculate teeth on the premaxilla aligned in a straight row, each with a large central spatulate cusp bordered on each side by a minute lateral cusp. The maxilla has two or infrequently three incisors. It shares an unusual pigmentation pattern of one dorsomedial and four lateral black stripes with A. gransabana, which was described from the neighboring upper Río Caroní drainage, Orinoco Basin. Apareiodon agmatos also shares with A. gransabana and Parodon guyanensis a higher number (5 versus 4) of teeth than other members of the genus in the premaxillary. Apareiodon agmatos and A. gransabana may also share an absence of thickening of the anterior pleural ribs noted by Starnes & Schindler (1993) for A. gransabana. While beyond the scope of this work, these features may prove sufficient to diagnose this group of species from the genus Apareiodon as currently recognized.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.220
Teacher spread0.196 · 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

Citations15
Published2008
Admission routes1
Has abstractyes

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