{"id":"W4386529296","doi":"10.1093/jas/skad300","title":"Influence of handling in corrals on the temperament of different breeds of beef cattle raised in Brazil","year":2023,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Beef cattle; Temperament; Herd; Animal science; Livestock; Analysis of variance; Principal component analysis; Biology; Veterinary medicine; Biotechnology; Statistics; Psychology; Mathematics; Medicine; Ecology; Personality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003448694,0.0002193567,0.0002281442,0.0004743609,0.0003704922,0.0003388386,0.0001525325,0.0001715822,0.0006556254],"category_scores_gemma":[0.000771126,0.0001332753,0.0002264532,0.0003324416,0.0003907588,0.0001156783,0.0002417633,0.000172115,0.00007677681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402471,"about_ca_system_score_gemma":0.0001996749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064581,"about_ca_topic_score_gemma":0.06714944,"domain_scores_codex":[0.9996785,0.0001012595,0.00001478499,0.00008935585,0.00005497379,0.0000611456],"domain_scores_gemma":[0.9994484,0.00008815961,0.0002408331,0.00004490573,0.00006555116,0.0001122078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002385095,0.00007498238,0.9825684,0.00001927271,0.00006941234,0.0002323986,0.002221656,0.00003924754,0.008822052,0.00003044969,0.00004695595,0.00563677],"study_design_scores_gemma":[8.51564e-7,0.00008597069,0.9992092,0.000002482577,0.000007904073,0.00005712733,0.0004454959,0.00003161859,0.00007995722,0.000005626957,0.00007237124,0.00000135091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997534,0.00003265576,0.00003306534,0.000006692182,0.00000101941,0.000001528668,0.00002137051,8.90611e-7,0.0001493788],"genre_scores_gemma":[0.9997231,0.00003665792,0.00007607289,0.000009259386,0.000002077647,0.000002675987,0.00004346565,0.000001020603,0.000105716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02064581,"threshold_uncertainty_score":0.04105127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06924855205442461,"score_gpt":0.3673418358418292,"score_spread":0.2980932837874046,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}