{"id":"W3031618749","doi":"10.3390/ani10060928","title":"Predicting Disease in Transition Dairy Cattle Based on Behaviors Measured Before Calving","year":2020,"lang":"en","type":"article","venue":"Animals","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Dairy Farmers of Manitoba; Dairy Farmers of Canada","keywords":"Ice calving; Dairy cattle; Transition (genetics); Disease; Biology; Animal science; Medicine; Lactation; Internal medicine; Pregnancy; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007539957,0.0001142689,0.00009563671,0.00002050723,0.00004508405,0.00001030075,0.0001022824,0.00007602288,0.0000284859],"category_scores_gemma":[0.00007512923,0.0001163535,0.00005913856,0.00006872171,0.00003134406,0.000002093036,0.0000167519,0.0000856722,0.000006507914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008675514,"about_ca_system_score_gemma":0.00006447698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002199238,"about_ca_topic_score_gemma":0.00003204392,"domain_scores_codex":[0.9992108,0.00005040221,0.0001517011,0.000292197,0.0001245649,0.0001703052],"domain_scores_gemma":[0.9996474,0.000007600866,0.00003282292,0.0001439866,0.00002340825,0.0001448057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001704127,0.000479722,0.5259277,0.0001939316,0.00004471335,0.00002055298,0.003088662,0.06318097,0.3989948,0.0005569206,0.0009531528,0.004854752],"study_design_scores_gemma":[0.0008390613,0.00102289,0.9779072,0.00005244874,0.00004007784,7.175764e-7,0.0001263632,0.001833454,0.01750186,0.0001220654,0.0003354946,0.0002183484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963449,0.0001536475,0.002266909,0.0006525005,0.0000497474,0.0001786282,0.00005107533,0.00001835152,0.000284234],"genre_scores_gemma":[0.9975739,0.000001565336,0.00127149,0.000830943,0.0001854396,0.00002172215,0.00008201841,0.00001903599,0.00001389842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4519795,"threshold_uncertainty_score":0.4744759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586596412562469,"score_gpt":0.2412000734403487,"score_spread":0.225334109314724,"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."}}