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Record W6968722024 · doi:10.5281/zenodo.5479980

Cretomanta Case, Tokaryk & Baird 1990

2015· article· en· W6968722024 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsnot available
Fundersnot available
KeywordsDentitionCusp (singularity)GenusCretaceousTaxonHolotype

Abstract

fetched live from OpenAlex

GENUS † CRETOMANTA CASE, TOKARYK & BAIRD, 1990 Included species: † Cretomanta canadensis Case et al., 1990. Occurrences: The genus occurs from the early Late Cretaceous (Cenomanian) of Canada and North America (Cappetta & Case, 1999; Case et al., 1990; Cicimurri, 2001; Shimada et al., 2006; Underwood & Cumbaa, 2010) to the Maastrichtian of Morocco (Noubhani & Cappetta, 1997). Remarks: The monospecific genus † Cretomanta Case et al., 1990 is only known by isolated teeth with a ‘peg-like’ morphology. There is no individualized labial face on the crown; the cusp is medially compressed, the enameloid is smooth except on the rounded labial face that presents faint longitudinal scratches (Underwood & Cumbaa, 2010); the root is anaulacorhize with numerous nutritive foramina as observable in recent Manta. Some teeth show a bifid cuspidate crown, as observed in the dentition of some living mobulids. Case et al. (1990) originally attributed this taxon to a microphageous batoid close to the Recent Manta, considering the global similarity between tooth shapes of both taxa. However, this tooth morphology is regarded as possibly convergent with Manta as observed in other enigmatic Cretaceous batoids such as Duwibatis (Cappetta, 1991), and has also led some authors to consider Cretomanta as a planktivorous lamniform (Noubhani & Cappetta, 1997; Cappetta, 2006) or with uncertain familial affinities amongst batoids (Underwood & Cumbaa, 2010).

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.054
GPT teacher head0.236
Teacher spread0.182 · 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 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
Published2015
Admission routes1
Has abstractyes

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