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Record W3042680548 · doi:10.36253/978-88-8453-746-1

Seafood from Catch and Aquaculture for a Sustainable Supply

2008· book· en· W3042680548 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings e report · 2008
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsnot available
FundersMinistero delle Politiche Agricole Alimentari e ForestaliEge Üniversitesi
KeywordsAquacultureTheme (computing)Sustainable developmentQuality (philosophy)FisheryBusinessPolitical scienceFish <Actinopterygii>GeographyComputer science

Abstract

fetched live from OpenAlex

For the fist time, the WEFTA Annual Meeting takes place in Italy, at Firenze on September 17th to 19th, 2008. The WEFTA 2008 theme is "Seafood from Catch and Aquaculture for a Sustainable Supply". WEFTA 2008 aims the gathering of international researchers, scientists and technicians, as well as professionals from seafood Industry, particularly involved in research and development, quality control and management for a three-day conference involving scientific and technical presentations, discussion and social contacts. The book of abstracts contains the 117 full and short abstracts of the communications presented in this 38th WEFTA Annual Meeting by scientists coming from several European Countries but also from USA, Canada, Brazil and Japan, able to give up-to-date information of great interest, useful for the development of scientific knowledge in much of the seafood issues.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.095
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.216
Teacher spread0.201 · 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