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Record W3004341882 · doi:10.12714/egejfas.37.2.02

Last dalians (stationary uncovered pound nets) deployed in the Istanbul Strait: Catch composition, catch per unit effort, and ecological indexes

2020· article· en· W3004341882 on OpenAlexaff
Dorukhan BİÇER, Taner Yıldız, Uğur Üzer, F. Saadet Karakulak

Bibliographic record

VenueEge Journal of Fisheries and Aquatic Sciences · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsDemersal zoneFisheryCatch per unit effortFishingPelagic zonePound (networking)GeographyBycatchFish stockUnit (ring theory)Fish <Actinopterygii>BiologyComputer scienceMathematics

Abstract

fetched live from OpenAlex

This paper updates some information on fish catches from the last dalians (stationary uncovered pound nets) operating off the coast of Istanbul Strait. The data were collected on the weekly basis directly from the owners of the traps. Although the traps have been targeting migratory pelagic fishes during their migration, demersal species have been caught as well. Totally, 15 fish species belonging to 12 families were caught during the study period. While the number of fishing days ranged from 24 to 37, the catch per unit effort ranged from 163.08 kg/day to 456.39 kg/day. As a conclusion, this study provides recent reference for the future studies dealing with monitoring and managing dalian fishery.

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 score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

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

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 head0.033
GPT teacher head0.236
Teacher spread0.203 · 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
Published2020
Admission routes1
Has abstractyes

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