{"id":"W3163191400","doi":"10.1093/tas/txab076","title":"Economic impact of digital dermatitis, foot rot, and bovine respiratory disease in feedlot cattle","year":2021,"lang":"en","type":"article","venue":"Translational Animal Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Feedlot; Bovine respiratory disease; Animal science; Incidence (geometry); Veterinary medicine; Beef cattle; Cumulative incidence; Biology; Animal husbandry; Animal health; Foot rot; Medicine; Internal medicine; Immunology; Agriculture; Mathematics; Cohort","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009806739,0.00009291801,0.0001260068,0.00006991326,0.0001154585,0.00004440348,0.00009667816,0.00001678644,0.0001861579],"category_scores_gemma":[0.00003137226,0.00008487768,0.0000584951,0.0001777604,0.0003800085,0.0005395112,0.00004887868,0.00005284365,0.00001184277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006924191,"about_ca_system_score_gemma":0.0004028583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462204,"about_ca_topic_score_gemma":0.00006755872,"domain_scores_codex":[0.9991906,0.0000139106,0.0001997809,0.0002452916,0.0001750826,0.0001753376],"domain_scores_gemma":[0.999675,0.00005200695,0.00003529909,0.00007813585,0.00005322073,0.0001062843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001842359,0.00004954009,0.9741881,0.0000129724,0.000004861315,0.00002425487,0.0001859242,0.0000569448,0.02318673,0.001642122,0.00002090685,0.0004433753],"study_design_scores_gemma":[0.0002506805,0.0002954883,0.9986119,0.00001410861,0.000006710756,0.00001453728,0.00002828616,0.0001576572,0.00014812,0.0003352028,0.00003636317,0.0001009532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972711,0.0005327928,0.00001366177,0.0002802091,0.00001850313,0.00007255795,0.0002930673,0.00001179641,0.001506371],"genre_scores_gemma":[0.9998738,0.00000718682,0.00005095582,0.00001903529,0.0000219591,0.00000507206,0.00000877161,0.000005255011,0.000007958346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02442376,"threshold_uncertainty_score":0.3461212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984332020192789,"score_gpt":0.3426058157765827,"score_spread":0.2927624955746548,"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."}}