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Record W4281475867 · doi:10.1139/cjes-2022-0010

The Northern Crocodile: first report of <i>Borealosuchus</i> (Eusuchia; Crocodylia) from Saskatchewan's lower Ravenscrag Formation (earliest Paleocene) with implications for biogeography

2022· article· en· W4281475867 on OpenAlexaffvenueabout
Kaitlin T. Lindblad, Jorge W. Moreno-Bernal, Ryan C. McKellar, María I. Vélez

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsRoyal Saskatchewan MuseumUniversity of Regina
Fundersnot available
KeywordsPostcraniaGeologyPaleontologyFaciesSkullBiogeographyGenusRange (aeronautics)PaleogeneCladeTaxonZoologyCretaceousBiologyPhylogenetic tree

Abstract

fetched live from OpenAlex

Two specimens of Borealosuchus collected from the lower facies of the Ravenscrag Formation (earliest Paleocene) in southern Saskatchewan are described. One largely complete individual featuring a partial skull, mandible, and postcrania can be unambiguously assigned to Borealosuchus griffithi Wu et al. 2001 a. The other specimen consisting of skull and partial postcranial fragments is referred to Borealosuchus sternbergii Gilmore, 1910 based on diagnostic cranial features. These specimens confirm the earliest occurrence of this clade in the province of Saskatchewan and expand the known stratigraphic and geographic range of their respective species. The discovery of Borealosuchus griffithi and Borealosuchus sternbergii in proximity to each other within the same deposits suggests temporal and spatial range overlap in the Big Muddy area during the earliest Paleocene, hinting at possible niche partitioning or other ecological relationships between members of the same genus.

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 score0.780
Threshold uncertainty score0.438

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.012
GPT teacher head0.198
Teacher spread0.186 · 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

Citations5
Published2022
Admission routes3
Has abstractyes

Explore more

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