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Record W1571209470 · doi:10.3989/egeol.05611-240

Cartographie de l’érosion hydrique en zone montagneuse : cas du bassin versant des Aït Bou Goumez, Haut Atlas, Maroc

2005· article· es· W1571209470 on OpenAlexaff
J. Abaoui, Abderrahmane El Ghmari, El Mostafa Bachaoui, A. Bannari, A. El Bouadili

Bibliographic record

VenueEstudios Geológicos · 2005
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicWater management and technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGeologyGeographyForestry

Abstract

fetched live from OpenAlex

El objetivo de este trabajo es la realizacion de la cartografía de erosión hídrica en zonas montañosas (Alto Atlas, Marruecos), basándose sobre tres principales factores: la friabilidad del sustrato litológico, el buzamiento y la densidad de la coberteza vegetal. El mapa del potencial erosivo se obtiene por la suma de índices relativos a las capas temáticas (la friabilidad del sustrato litológico, el buzamiento y la densidad de la coberteza vegeta) multiplicado por los porcentajes de contribución de cada factor. Estos porcentajes se han obtenido por iteración refériéndose a la realidad del terreno. Los porcentajes 50%, 30% y 20% retenidos corresponden respectivamente a la friabilidad del sustrato litológico, el buzamiento y la densidad de la coberteza vegetal. Este trabajo puede ser utilizado para cartografiar el potencial erosivo en otras cuencas de drenaje del Alto Atlas central que presentan facies geológicas, topografía y coberteza vegetal similares a la zona de Aït Bou Goumez.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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 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

Citations9
Published2005
Admission routes1
Has abstractyes

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