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Record W1949145795 · doi:10.1684/agr.2007.0087

L’Amazonie : une « mine » de diversité ichthyoloqique pour la pisciculture de demain*

2007· article· fr· W1949145795 on OpenAlexaff

Bibliographic record

VenueCahiers Agricultures · 2007
Typearticle
Languagefr
FieldEnvironmental Science
TopicFish biology, ecology, and behavior
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Auteur(s) : Jesus Nunez Institut de recherche pour le developpement (IRD), Unite de recherche (UR) 175 « Caracterisation et valorisation de la diversite ichtyologique pour une aquaculture raisonnee » (Caviar), Groupe Aquaculture continentale mediterraneenne et tropicale (Gamet), 361, rue J.-F. Breton, BP 5095, 34196 Montpellier cedex 05 Face a la degradation des ressources piscicoles exploitables par la peche en Amerique latine comme sur d’autres continents, l’aquaculture [...]

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.006
GPT teacher head0.215
Teacher spread0.210 · 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 teacher head, not a consensus.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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