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Record W1756312585 · doi:10.2331/fishsci.68.sup1_908

Assessment of stocking effectiveness of hatchery-reared age-0 and age-1 masu salmon smolts through a fish market survey in Hokkaido

2002· article· en· W1756312585 on OpenAlexaff
Yasuyuki Miyakoshi, Mitsuhiro Nagata, Kazutaka Shimoda, K. Sugiwaka, Shuichi Kitada

Bibliographic record

VenueFisheries Science · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsHatcheryOncorhynchusStockingFisheryBiologyFish <Actinopterygii>Fish hatcheryAnimal scienceAge groupsFish farmingAquacultureDemography

Abstract

fetched live from OpenAlex

Enhancement strategies for masu salmon Oncorhynchus masou have been developed during the last 20 years in northern Japan. The introduction of age-1 smolts is regarded as the most effective method although age-0 smolts are produced experimentally by accelerated incubation and rearing at the Hokkaido Fish Hatchery. In this study, we estimated recoveries of hatchery-reared age-0 and age-1 masu salmon smolts through a two-stage sampling survey of commercial landings in western Hokkaido, Japan. Recovery rates ranged between 0.1 and 4.5% for age-0 smolts and 0.2 and 3.5% for age-1 smolts. Increased smolt weight at release had positive effects on recovery rates of age-1 smolts, and increases in condition factor had negative effects on the recovery rates of age-0 smolts.

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)0.001
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 score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.032
GPT teacher head0.255
Teacher spread0.223 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

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