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Record W6986988662

Scleritomes of chancelloria eros and sclerits from the middle Cambrian (Series 3, stage 5) of central Sonora, Mexico

2019· article· en· W6986988662 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsnot available
Fundersnot available
KeywordsLaurentiaTrilobiteStage (stratigraphy)Sponge spiculePaleozoicSequence (biology)SlumpingSection (typography)
DOInot available

Abstract

fetched live from OpenAlex

Fragments of scleritomes of Chancelloria eros from the middle Cambrian of Sonora, Mexico are reported for the first time. Chancelloriid scleritomes partially articulated and isolated sclerites belonging to Allonnia tintinopsis and Archiasterella sp. are widely distributed in reddish calcilutite of the El Gavilán Formation, in the Sahuaral section, central Sonora. The faunal association is represented by chancelloriids, spicules of reticulosan sponges, linguliform brachiopods, hyoliths and trilobites. The El Gavilán Formation is an open shelf sequence of 65 m thick, composed of calcilutite interbedded with thin-bedded marly limestone. Trilobite association allowed assigning the open shelf deposit to the middle Cambrian, Altiocculus Subzone, Ehmaniella Zone (Series 3, Stage 5). Chancelloriid genera of the El Sahuaral section may be compared with the biota of San Jose de Gracia, in central Sonora, México, and also with other mid-Cambrian shelf deposits around Laurentia as Burgess Shale in Canada and formations from Utah, USA. Cambrian rocks of Sonora were part of the southern-western border of Laurentia craton, which was located near the paleo-equator during Cambrian times.

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 score0.092
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.212
Teacher spread0.189 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

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