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Record W2769961722 · doi:10.1007/s13358-017-0141-x

Well-preserved fenestrate bryozoans in Mississippian building stones, Utrecht, The Netherlands

2017· article· en· W2769961722 on OpenAlexaff
Stephen K. Donovan, Patrick N. Wyse Jackson

Bibliographic record

VenueSwiss Journal of Palaeontology · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsCarboniferousPaleontologyGeologyAffinitiesHorizonPaleozoicBiologyGeometry

Abstract

fetched live from OpenAlex

Unusually well-preserved fenestrate bryozoans have been identified in Mississippian (Lower Carboniferous) building stones in Utrecht, the Netherlands. Specimens in adjacent properties presumably came from the same horizon, presumably from Belgium. Although scant internal morphological detail can be discerned, the general arrangement of the meshwork, together with the disposition of autozooecia, show affinities with Rectifenestella Morozova, which has straight-sided fenestrules into which lateral autozooecial apertures do not extend. This may be the first detailed record of bryozoans from the Mississippian building stones of the Netherlands.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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 teacher head, not a consensus.

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
Published2017
Admission routes1
Has abstractyes

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