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Record W1905941917 · doi:10.5376/ija.2015.05.0002

Molluscs of Santa Catarina State/ SC, Central Southern Brazil: increments to species inventory, new geographical records and additional informations

2015· article· en· W1905941917 on OpenAlexvenueno aff
Aisur Ignacio Agudo-Padrón

Bibliographic record

VenueInternational Journal of Aquaculture · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyEnvironmental protection

Abstract

fetched live from OpenAlex

Based in reliable bibliographical technical reports of recent production, most four new gastropod mollusc forms (one marine - sea slug & three terrestrial) are added and incorporated to the previous systematic malacological inventory of Santa Catarina’s State/ SC, central southern Brazil region, the giant land snails Megalobulimus jaguarunensis Fontenelle, Cavallari & Simone, 2014, Megalobulimus abbreviatus (Bequaert, 1848), Megalobulimus sanctipauli (Ihering, 1900) (MEGALOBULIMIDAE) and the sea slug Pleurobranchaea inconspicua Bergh, 1897 (PLEUROBRANCHAEIDAE), raise the state records for 668 marine species and subspecies regionally known (11 Polyplacophora, 397 Gastropoda, 10 Scaphopoda, 226 Bivalvia, and 24 Cephalopoda) and for 223 the number of continental forms (193 gastropods – 151 terrestrial, 2 amphibian, 40 freshwater – and 30 limnic bivalves). Additional taxonomic and inedit regional environmental informations are included, updated for other two sea slug species previously reported for the State without specific determination, as well as new geographic occurrence records from terrestrial gastropods in Santa Catarina and in the neighboring State of Rio Grande do Sul/ RS.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.271
Teacher spread0.245 · 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 teacher head, not a consensus.

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

Citations10
Published2015
Admission routes1
Has abstractyes

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