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Record W3082571248

Technologies in Mangrove-Friendly Aquaculture. Final Report of and Papers Presented to the On-Site Training on Mangrove-Friendly Aquaculture, Hai Phong City, Socialist Republic of Vietnam, 19-30 April 1999

2000· book· en· W3082571248 on OpenAlexaboutno aff
Yasuho Tadokoro, Virgilia T. Sulit, Rosario B. Abastillas

Bibliographic record

VenueAquaculture Department, Southeast Asian Fisheries Development Center eBooks · 2000
Typebook
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMangroveVietnameseAquacultureGovernment (linguistics)Training (meteorology)Christian ministryBusinessFisheryGeographyResource (disambiguation)Environmental planningEnvironmental protectionPolitical scienceFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

AQD is specifically grateful to the Government of Japan for the allocation of special funds for the on-site training and especially for promoting the conservation of mangrove resources in the region; to the SEAFDEC Council for considering the implementation of the on-site training in particular, and AQD’s mangrove-friendly aquaculture program, in general; the Government of Canada through the Canada-ASEAN Centre and its ASEAN Canada Fund for supporting the Cambodian representatives to the on-site training; the ASEAN Sectoral Working Group on Fisheries and the ASEAN Secretariat for their support; and the Government of Vietnam through the Research Institute of Marine Products (RIMP) for hosting the training and providing technical and administrative support, and also through the Ministry of Fisheries for providing the Vietnamese resource persons, and the Vietnamese representatives to the training.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.011

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 head0.020
GPT teacher head0.238
Teacher spread0.218 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2000
Admission routes1
Has abstractyes

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