MétaCan
Menu
Back to cohort
Record W3133940591 · doi:10.21423/aabppro20163479

Characterization of neonatal beef calf behavior and associations with weight gain and intake of colostral immunoglobulins

2016· article· en· W3133940591 on OpenAlexaff
Jenna E. Bayne, Thomas Passler, Manuel F. Chamorro, Deborah M. Haines, Paul H. Walz

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2016
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsColostrumAnimal sciencePassive immunityWeight gainBeef cattleBirth weightAntibodyBody weightBiologyMedicinePregnancyImmunologyEndocrinology

Abstract

fetched live from OpenAlex

Failure of adequate colostrum intake in neonatal calves contributes to increased morbidity and mortality in both beef and dairy calves. Characterizing neonatal calf behavior predictive of future production has not been fully explored in beef cattle. Research objectives included characterization of behavioral indices from birth until day 7 in beef calves born to primiparous (Calves-H) and multiparous dams (CalvesC). Evaluation of body weight, serum total protein, and IgG concentrations were performed to determine correlations between activity, transfer of passive immunity, and weight gain during the first 7 days of life.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Association of Bovine Practitioners Conference ProceedingsSame topicAnimal health and immunologyFrench-language works237,207