{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001121092,0.0003998188,0.0003215843,0.0007320627,0.0001697298,0.0006934454,0.0002774124,0.0004046038,0.0003711671],"category_scores_gemma":[0.002394575,0.0001744224,0.00045747,0.0003364238,0.0001697715,0.0002383841,0.0003603923,0.0004605884,0.0001350986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301568,"about_ca_system_score_gemma":0.0002495283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00784576,"about_ca_topic_score_gemma":0.009818755,"domain_scores_codex":[0.9997132,0.0001100122,0.00002213669,0.00006841053,0.00003145941,0.00005469107],"domain_scores_gemma":[0.998694,0.0007048115,0.0002751317,0.00007223955,0.0001077934,0.0001460553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002133906,0.00009786577,0.9914026,0.000008356071,0.00005195248,0.00002196725,0.00003544984,0.001853796,0.0009829403,0.000009591536,0.00007853551,0.005243611],"study_design_scores_gemma":[0.00001248353,0.0003357443,0.9579681,0.00001284495,0.00005886001,0.00009332375,0.000141279,0.04068483,0.0005104304,0.00006135509,0.0001128052,0.000007919366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992206,0.00006490762,0.0004804592,0.0000150318,0.000001675711,0.00000505255,0.0001358749,0.00001028725,0.00006609169],"genre_scores_gemma":[0.9984533,0.00005837092,0.0007625469,0.00001165634,0.000002693523,0.000007555671,0.0006529333,0.000001337106,0.00004959312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00784576,"threshold_uncertainty_score":0.0156002,"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."}}