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Record W7023761144

Pragian (Lower Devonian) stromatoporoids and rugose corals from Zújar (Sierra
\nMorena, southern Spain)

2012· article· en· W7023761144 on OpenAlexaboutno aff

Bibliographic record

VenueLibrary Open Repository (Universidad Complutense Madrid) · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsnot available
FundersUniversidad Complutense de Madrid
KeywordsFaunaCoralReefCoral reefDevonianSubspeciesArcticRange (aeronautics)HabitatScleractinia
DOInot available

Abstract

fetched live from OpenAlex

The locality Zújar at the boundary between the Badajoz and Córdoba provinces belongs to the Obejo-Valsequillo-Puebla \nde la Reina Domain. Within the fossiliferous reefal carbonates of Pragian age cropping out in Zújar, 10 stromatoporoid species and 7 \nrugose coral species are identified. The new rugose coral species Martinophyllum miriamae n. sp. is described. Hexagonaria soraufi \nRodríguez García, 1978 is a subspecies of Martinophyllum ornatum Jell & Pedder, 1969. The Pragian fauna of Zújar is a typical fauna of \nthe Old World Realm with remarkably close relationships to Arctic Canada and Australia. Most species have been recorded for the first \ntime from Spain. No significant relationships to the Eastern Americas Realm are visible. Remarkable is, that none of the stromatoporoid \nspecies of Zújar is known from the famous Pragian reef complex of Koněprusy in Bohemia, meanwhile the rugose coral fauna (e. g. \nJoachimastraea barrandei Galle, Hladil & May, 1999) shows some relations. Some of the species found are ancestors of important \nconstructors of the Middle Devonian reef complexes, demonstrating that the roots of the Givetian-Frasnian reef complexes reach down \nto the Pragian.

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 score0.061
Threshold uncertainty score0.122

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.201
Teacher spread0.188 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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