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Record W7005870951

SPC Beche-de-Mer Information Bulletin #30 - March 2010

2010· article· en· W7005870951 on OpenAlexfundno aff

Bibliographic record

VenuePacific Community (SPC) Oceanic Fisheries Programme (The Pacific Community (SPC)) · 2010
Typearticle
Languageen
FieldEngineering
TopicMarine Biology and Environmental Chemistry
Canadian institutionsnot available
FundersAustralian Centre for International Agricultural ResearchNagao Natural Environment FoundationMohamed bin Zayed Species Conservation FundFisheries and Oceans CanadaHigher Education Commision, PakistanUniversidad del MagdalenaConselho Nacional de Desenvolvimento Científico e TecnológicoKementerian Sains, Teknologi dan InovasiGreat Barrier Reef Marine Park AuthorityCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUnited Nations Development ProgrammeGlobal Environment FacilityWorld Wildlife FundUniversity of the Sunshine CoastHolsworth Wildlife Research EndowmentAlaska Department of Fish and GameMassachusetts Department of Fish and GameCommonwealth Scientific and Industrial Research OrganisationUnited States Agency for International Development
KeywordsInformation systemTroubleshootingDocumentationQuality (philosophy)The Internet
DOInot available

Abstract

fetched live from OpenAlex

Anon. 2008. SPC Beche-de-mer Information Bulletin 27. Noumea, New Caledonia: Secretariat of the Pacific Community. 56 p.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.600
Threshold uncertainty score0.570

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.6000.508

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 head0.014
GPT teacher head0.196
Teacher spread0.182 · 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.

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
Published2010
Admission routes1
Has abstractyes

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