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Record W7116443203 · doi:10.71655/uvcibv.086zg-c6a08

Étude des systèmes précipitants observés au Nord Bénin pendant la campagne AMMA : contribution à l'estimation des caractéristiques des précipitations par radar polarimétrique

2014· article· W7116443203 on OpenAlexaff

Bibliographic record

VenueUniversité Virtuelle de Côte d'Ivoire · 2014
Typearticle
Language
FieldEarth and Planetary Sciences
TopicPrecipitation Measurement and Analysis
Canadian institutionsMinistry of Natural Resources and Wildlife
Fundersnot available
KeywordsRadarSynthetic aperture radarProspectionGloom

Abstract

fetched live from OpenAlex

Cette thèse se situe dans le cadre du programme international AMMA (Analyse Multidisplinaires de la Mousson Africaine). Elle est une contribution sur les estimations par radar polarimétrique des caractéristiques des précipitations. Cette étude s'est réalisée sur les systèmes précipitants observés au nord Benin plus précisément sur l'OHHVO (Observatoire Hydrométéorologique de la Haute Vallée de l'Ouémé), zone soudanienne pendant la campagne intensive 2006-2007. Avant d'ab

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.215
Teacher spread0.200 · 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
Published2014
Admission routes1
Has abstractyes

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