{"id":"W2768033790","doi":"10.2527/tas2017.0052","title":"Economic impacts of lameness in feedlot cattle1","year":2017,"lang":"en","type":"article","venue":"Translational Animal Science","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Calgary","funders":"Agriculture and Agri-Food Canada","keywords":"Feedlot; Lameness; Feeder cattle; Animal science; Beef cattle; Cattle Diseases; Medicine; Veterinary medicine; Livestock; Animal health; Biology; Surgery; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001735063,0.0003325827,0.0002808379,0.0007060788,0.0002904501,0.00124153,0.0004470662,0.0003919485,0.002905888],"category_scores_gemma":[0.002808376,0.000207417,0.000571912,0.00074829,0.0003323666,0.0004717024,0.0003449627,0.0003284568,0.0001568483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003855426,"about_ca_system_score_gemma":0.001075241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06112352,"about_ca_topic_score_gemma":0.07798842,"domain_scores_codex":[0.9993333,0.0003470582,0.00002123037,0.00005044788,0.000100289,0.0001475875],"domain_scores_gemma":[0.9981444,0.001188412,0.0003359987,0.00003409209,0.0002014853,0.00009563496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001114656,0.0003935092,0.5709628,0.0002872946,0.0005996317,0.0005428806,0.0001213753,0.3935314,0.001384046,0.001320047,0.001072959,0.02866928],"study_design_scores_gemma":[0.00005679895,0.001208699,0.5644861,0.0001306753,0.000215615,0.000227617,0.0005391268,0.4290284,0.0006990032,0.001510788,0.001865419,0.00003181812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952719,0.0005118739,0.001486825,0.00011533,0.000005981108,0.00002642121,0.0008838093,0.00001658535,0.001681382],"genre_scores_gemma":[0.9982145,0.0002150026,0.0004051008,0.00001485531,0.000002874406,0.000008139635,0.0005253284,0.000002355631,0.0006118934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06112352,"threshold_uncertainty_score":0.1215355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04307160190729385,"score_gpt":0.2956264349092231,"score_spread":0.2525548330019293,"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."}}