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Record W2288926948 · doi:10.1130/2014.2503(09)

Diversity and paleoecology of actinopterygian fish from vertebrate microfossil localities of the Maastrichtian Hell Creek Formation of Montana

2014· book-chapter· en· W2288926948 on OpenAlexaff
Donald B. Brinkman, Michael G. Newbrey, Andrew G. Neuman

Bibliographic record

VenueGeological Society of America eBooks · 2014
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsRoyal Tyrrell Museum
FundersUniversity of California Museum of Paleontology
KeywordsVertebrateCatfishPaleoecologyFish <Actinopterygii>PaleontologyTaphonomyBiologyAssemblage (archaeology)CretaceousGeologyEcologyFishery

Abstract

fetched live from OpenAlex

Remains from vertebrate microfossil localities of the Hell Creek Formation provide a basis for evaluating the diversity and relative abundance of actinopterygians. Taxonomic composition of the basal actinopterygians of the Hell Creek Formation is increased by the recognition of a probable semionotiform designated Holostean A and a small-bodied amiid. A combined taxonomic/parataxonomic approach incorporating data from centra and tooth-bearing elements demonstrates that, at minimum, 17 kinds of teleosts are present in the Hell Creek assemblage. These include an ostariophysan with possible affinities to catfish and the first Cretaceous record of Priscacara.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.171
Teacher spread0.155 · 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

Citations34
Published2014
Admission routes1
Has abstractyes

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