{"id":"W2997119027","doi":"10.3168/jds.2019-17454","title":"Fitness for transport of cull dairy cows at livestock markets","year":2019,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of British Columbia","funders":"","keywords":"Livestock; Culling; Dairy cattle; Herd; Logistic regression; Animal science; Business; Veterinary medicine; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009074277,0.0001276816,0.0003465432,0.0001451881,0.0001763639,0.00001149728,0.0005336654,0.00004413996,0.0002176948],"category_scores_gemma":[0.00006790125,0.00009702218,0.0002125088,0.0002493022,0.0003769747,0.0005081272,0.00008506739,0.000124083,0.000016274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007533296,"about_ca_system_score_gemma":0.0001523157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008125347,"about_ca_topic_score_gemma":0.000002074048,"domain_scores_codex":[0.9984555,0.00002244202,0.0004943629,0.0002001539,0.0005534947,0.0002740577],"domain_scores_gemma":[0.9987928,0.00009935941,0.0004118852,0.0001990038,0.0003838689,0.0001131213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002827852,0.0002310177,0.6294678,0.000185362,0.00004235405,0.0001045507,0.002215227,0.00002066136,0.3604952,0.0002635443,0.002193806,0.001952637],"study_design_scores_gemma":[0.0007429288,0.001999208,0.9908412,0.0001068016,0.0000466477,0.000322991,0.0004526879,0.00002854027,0.00176148,0.00004676034,0.003518041,0.0001326796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956762,0.0002317161,0.0002135384,0.0001579402,0.000642559,0.000161122,0.00003772546,0.000007944596,0.002871248],"genre_scores_gemma":[0.9977391,0.00002286857,0.001191582,0.0000385995,0.00006841282,0.000002984875,8.040103e-7,0.00001004207,0.000925641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3613734,"threshold_uncertainty_score":0.395645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04655859903232669,"score_gpt":0.3281322718415453,"score_spread":0.2815736728092186,"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."}}