{"id":"W2990864113","doi":"10.1079/9781786399151.0153","title":"Cattle transport in North America.","year":2019,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Welfare; Business; Beef cattle; Agricultural economics; Geography; Agricultural science; Economics; Forestry; Biology; Market economy","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":[0.0003410924,0.0006803559,0.0002528447,0.001747954,0.001948458,0.00206379,0.0005698334,0.0007210933,0.04489321],"category_scores_gemma":[0.0002845706,0.0003330844,0.0002421439,0.004056724,0.0005468336,0.001351528,0.0007639622,0.001048677,0.007664808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003325486,"about_ca_system_score_gemma":0.004400685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2486355,"about_ca_topic_score_gemma":0.4649685,"domain_scores_codex":[0.9997885,0.00002718044,0.00001517879,0.00003754795,0.00008225155,0.00004940426],"domain_scores_gemma":[0.9998077,0.00001857136,0.00002742099,0.000005934256,0.00009417381,0.00004625367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004201956,0.00004472908,0.003995793,0.0005121775,0.000009199328,0.0002752073,0.001591785,0.0001983576,0.0005497787,0.007079883,0.7648193,0.2208818],"study_design_scores_gemma":[0.000001217129,0.000004900347,0.005800277,0.0001176208,0.000002257756,0.00009234124,0.0005141405,0.0000347624,0.00002425173,0.0001555256,0.9932493,0.000003426995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01150886,0.2949176,0.00100421,0.02691218,0.02352363,0.00006585879,0.004084685,0.0004217715,0.6375613],"genre_scores_gemma":[0.03500482,0.1330836,0.001546238,0.007073146,0.002322788,0.00008926319,0.005041488,0.0001456395,0.815693],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2486355,"threshold_uncertainty_score":0.4943765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009980628757129635,"score_gpt":0.2055196682551803,"score_spread":0.1955390394980506,"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."}}