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Record W6903202343 · doi:10.11575/prism/dspace/41318

North American ornithomimids: morphology, taxonomy, morphometrics, and phylogenetics

2022· other· en· W6903202343 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMorphometricsTaxonPhylogenetic treeMorphology (biology)PhylogeneticsCretaceousMultivariate statisticsExtinction (optical mineralogy)

Abstract

fetched live from OpenAlex

Ornithomimids, also known as bird-mimic dinosaurs, are known from the Late Cretaceous of Asia and North America. Within North America, the majority of specimens come from the Campanian to Maastrichtian aged formations of Alberta, Canada. Despite a large collection of ornithomimid specimens from North America, informative anatomical and taxonomic comparisons have been limited by incomplete specimens and a lack of overlapping material. In this thesis, I conduct a thorough review of existing North American ornithomimid specimens using a combination of morphological examinations, taxonomic revisions, geometric and traditional morphometrics, and phylogenetics. I show how distal tarsal morphology varies across ornithomimosaurs and report on the diversity of North American ornithomimids leading up the Cretaceous-Paleogene extinction through descriptive work. Using both geometric morphometrics and multivariate ratio analysis, I demonstrate the utility of quantitative approaches in differentiating ornithomimid taxa. Finally, I integrate taxon and specimen-based phylogenetic methods, finding a series of evolutionary hypotheses for ornithomimid interrelationships.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.134
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.015
GPT teacher head0.189
Teacher spread0.173 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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