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Record W2266320774 · doi:10.1016/j.crpv.2015.09.013

First occurrence of the Ichnogenus Selenichnites from the Middle Jurassic Strata of the Skoura Syncline (Middle Atlas, Morocco); Palaeoecological and palaeoenvironmental context

2016· article· en· W2266320774 on OpenAlexaff
Mostafa Oukassou, André Charrière, Abdelouahed Lagnaoui, Stacey Gibb, André Michard, Omar Saddiqi

Bibliographic record

VenueComptes Rendus Palevol · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies Worldwide
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSynclineGeologyPaleontologyTrace fossilMarlMesozoicStructural basin

Abstract

fetched live from OpenAlex

Des traces d’invertébrés, attribuées à l’ichnogenre Selenichnites , ont été découvertes dans les couches d’âge Bajocien supérieur–Bathonien inférieur (formation d’Ich Timellaline/Bou Akrabène) du synclinal de Skoura, dans le Moyen Atlas marocain. Conservées sur une dalle gréso-calcaire subhorizontale, ces traces montrent des formes en croissant ou fer à cheval avec, dans le spécimen le mieux conservé, une empreinte arrière selon l’axe médian (trace du telson caudal). Elles sont interprétées comme des traces d’enfouissement (fodinichnia) de Xiphosures (= Limules) cherchant leur nourriture sur le fond sablo-carbonaté ou sous un voile de vase le recouvrant. Les caractères sédimentologiques indiquent des dépôts subtidaux dans une zone peu profonde relativement abritée. Ces paléoenvironnements littoraux précèdent la régression bathonienne du domaine atlasique. Cette découverte permet d’établir la présence de Xiphosuridés sur les rivages sud de la Téthys dès le Jurassique moyen.

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 score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.029
GPT teacher head0.181
Teacher spread0.152 · 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

Citations17
Published2016
Admission routes1
Has abstractyes

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