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Record W1982357470 · doi:10.1016/j.crte.2007.03.006

Principales lignes structurales du Maroc nord-oriental : apport de la gravimétrie

2007· article· fr· W1982357470 on OpenAlexaff
Touria Chennouf, Driss Khattach, Abdellah Milhi, P. Andrieux, Pierre Keating

Bibliographic record

VenueComptes Rendus Géoscience · 2007
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies Worldwide
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsGeologyHumanitiesMesozoicDiapirGeomorphologyStructural basinArt

Abstract

fetched live from OpenAlex

Le présent travail, basé sur les différentes techniques de traitement des données gravimétriques couvrant le Maroc nord-oriental (gradient horizontal, prolongement vers le haut, déconvolution d’Euler), a permis de mettre en évidence les différentes structures géologiques présentes dans la région (faille, bassin, diapir…), qui sont parfois partiellement ou totalement masquées par la couverture sédimentaire. Une carte structurale du secteur a été dressée à partir de ces résultats, qui confirme l’existence de failles déjà reconnues ou supposées par les études structurales classiques en précisant leur tracé et pendages, et met en évidence de nouveaux accidents profonds ou superficiels, restés inconnus jusqu’à nos jours. Les accidents les plus profonds sont orientés essentiellement suivant deux directions : N080°–085° et N055°–065°, avec une dominance de cette dernière famille ; leur profondeur peut aller jusqu’à 4500 m. Les directions N080°–085° correspondent aux failles de Kebdana, de Sidi Bouhouria, de Naima et de Guefait, et les directions N055°–065° correspondent à la faille de Ras El Ma (parallèle à la côte méditerranéenne) et aux failles de Moulouya, de Madagh, d’Angad et des Zekkara.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.242
Teacher spread0.224 · 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

Citations24
Published2007
Admission routes1
Has abstractyes

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