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Detection of Symmetries in Cattle Skulls

2018· article· en· W2893575952 on OpenAlexvenueno aff
Pere M. Parés‐Casanova, Baba Gana Gambo, James Olukayode Olopade

Bibliographic record

VenueJournal of Buffalo Science · 2018
Typearticle
Languageen
FieldComputer Science
TopicDigital Imaging for Blood Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyEvolutionary biologyZoology

Abstract

fetched live from OpenAlex

A sample of adult individuals from two ethnological groups (“European” n=36 and “African” n=10) that exhibited a normal craniofacial phenotype on their dorsal aspect was studied by means of geometric morphometric methods. Eleven landmarks were selected, corresponding to the neurocranium and viscerocranium. Both fluctuating as directional asymmetries were detected. The latter accounted for the largest proportion of the total variation, causing the main variation in symmetric shape, the former being higher in Kuri cattle. Detected fluctuating asymmetries could indicate an overall poor quality or general low health condition of individuals, due to the harder conditions (climatic, tropical) in which Kuri breed must thrive. Detected directional asymmetry, on the other side, could reflect just a mere functional lateralization of Bos taurus, as it has been established for other domestic animals.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.260
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2018
Admission routes1
Has abstractyes

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