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Record W2809783260 · doi:10.1134/s0032945218030153

Comments on the Mond Scraper, Capoeta mandica (Teleostei: Cyprinidae): Re-Description, Molecular Systematics and Distribution Modeling

2018· article· en· W2809783260 on OpenAlexaff
Halimeh Zareian, Hamid Reza Esmaeili, Ali Gholamhosseini, Nisreen Alwan, Brian W. Coad

Bibliographic record

VenueJournal of Ichthyology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsCanadian Museum of Nature
FundersShiraz University
KeywordsTeleosteiSystematicsCyprinidaeZoologyScraper siteBiologyFisheryTaxonomy (biology)Computer scienceFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Capoeta mandica was originally described as C. barroisi mandica from Mond River, Persian Gulf basin, based on morphological characters and later was considered as a distinct species based on a few small specimens. However, there is still controversial debate about its systematic position and morphological characters. To resolve the issue, new collected specimens from Iranian drainage basins examined morphologically and molecularly. Results revealed that C. mandica is a distinct taxon in the Capoeta trutta group. This taxon confirms the zoogeographical separation of the Persis basin (southern Iran) by the rise in post-Pleistocene sea level, isolating rivers from the Tigris-Euphrates and western basins.

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)0.001
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0010.003
Open science0.0030.002
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0070.006

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 head0.022
GPT teacher head0.247
Teacher spread0.224 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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