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Record W1993510834 · doi:10.1080/00222933.2011.574801

Speciation of two salinity-associated size forms of<i>Oithona dissimilis</i>(Copepoda: Cyclopoida) in estuaries

2011· article· en· W1993510834 on OpenAlexafffund
Hiroshi Ueda, Aika Yamaguchi, Shinichi Saitoh, Sakiko Orui Sakaguchi, Katsunori Tachihara

Bibliographic record

VenueJournal of Natural History · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsUniversity of British Columbia
FundersUniversity of British ColumbiaSmithsonian Institution
KeywordsSubspeciesBiologyCyclopoidaCopepodEstuaryZoologySpecies complexEcologyFisheryCrustaceanGenePhylogenetic tree

Abstract

fetched live from OpenAlex

The cyclopoid copepod Oithona dissimilis in Okinawa, Japan, has two size forms; the smaller occurs in upper estuaries and the larger in lower estuaries and coastal lagoons. Morphological difference between the forms is seen in the length/width ratio of the female caudal ramus. Genetically they differ by 1.84–2.21% from nuclear LSU rRNA (the large subunit ribosomal RNA gene) and 20.85–21.34% from the mitochondrial cytochrome c oxidase subunit I gene (mtCOI), which, in contrast, vary within a form by 0.00–0.18% and 0.00–1.34%, respectively. This genealogical concordance indicates that they are reproductively isolated species. Their habitats suggest speciation associated with different salinity regimes. The subspecies O. dissimilis dissimilis and O. dissimilis oceanica from India are also probably independent species because they are comparable to the two forms from Okinawa. However our specimens were notably different from previous descriptions of the species with respect to some micromorphology, suggesting that O. dissimilis is a species complex containing more than two cryptic species.

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 score0.004
Threshold uncertainty score0.009

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.239
Teacher spread0.210 · 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

Citations21
Published2011
Admission routes2
Has abstractyes

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