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Record W4380320826 · doi:10.55407/geogaceta99818

Nuevos fósiles del Pragiense (Devónico Inferior) del Geoparque Mundial de la UNESCO Montañas do Courel (Lugo, NO de España) y sus implicaciones geológicas

2022· article· es· W4380320826 on OpenAlexaff
Xosé Carlos Barros Lorenzo, J. C. Gutiérrez-Marco, Pedro Cózar, Olev Vinn, Daniel Ballesteros, Martín Alempere

Bibliographic record

VenueGeogaceta · 2022
Typearticle
Languagees
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies Worldwide
Canadian institutionsOntario Drive & Gear (Canada)
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Se presentan los primeros fósiles devónicos reconocidos en el sinclinorio del Sil (Lugo, NO de España), encontrados en rocas calcáreas incluidas en un contexto local cartografiado como pizarras ordovícicas, lo que sugiere la necesidad de abordar una investigación estructural y estratigráfica más detallada. El yacimiento paleontológico se vincula con calizas que contienen una acumulación excepcional de dacrioconáridos aparentemente monoespecífica, un grupo fósil que se reconoce por vez primera en Galicia. La identificación de Nowakia cf. acuaria (Richter) permite atribuir al Pragiense el afloramiento estudiado, y correlacionarlo tentativamente con la parte más alta de la Formación Salas en sus afloramientos del extremo oriental del sinclinorio, ya en la provincial de León. Una interpretación alternativa sería considerar a esta caliza como un olistolito en la base del olistostroma + flysch carbonífero de San Clodio. Atendiendo al interés científico de tipo paleontológico, estratigráfico y estructural, la localidad ha sido inscrita como nuevo Lugar de Interés Geológico del Geoparque Mundial de la UNESCO Montañas do Courel.

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 score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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