{"id":"W3093982279","doi":"","title":"Incidence of bovine subclinical mastitis in organized and unorganized farms based on somatic cell count","year":2018,"lang":"en","type":"article","venue":"International Journal of Chemical Studies","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mastitis; Incidence (geometry); Herd; Somatic cell count; Veterinary medicine; Quarter (Canadian coin); Subclinical infection; Animal science; California mastitis test; Medicine; Biology; Lactation; Geography; Ice calving; Internal medicine; Pregnancy; Mathematics; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003697803,0.0002185005,0.0002200452,0.001126975,0.000269686,0.0005263617,0.0002637601,0.0002766766,0.0009897787],"category_scores_gemma":[0.001107248,0.0002251543,0.0001685177,0.0007297769,0.0004771602,0.0003213158,0.0003463068,0.0002196698,0.0001374646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003849414,"about_ca_system_score_gemma":0.0002292908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004211035,"about_ca_topic_score_gemma":0.008748386,"domain_scores_codex":[0.9995241,0.0000875989,0.00005603005,0.00008519689,0.0001396685,0.0001074268],"domain_scores_gemma":[0.9988261,0.0001912065,0.0006208955,0.00004978311,0.0001098028,0.000202245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008830832,0.00003355701,0.9968888,0.00001342435,0.00001744994,0.0002086262,0.000222627,0.00004459705,0.001094138,0.00001370368,0.00005448721,0.001320383],"study_design_scores_gemma":[0.000002182776,0.0001646388,0.9989774,0.000005394124,0.000006640406,0.0003034965,0.0003260601,0.00006068628,0.00006897918,0.000009156597,0.00007343817,0.00000195268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994788,0.0001210655,0.00001413699,0.00001000938,0.000001978828,0.000003300455,0.00007961921,0.000001809056,0.0002892622],"genre_scores_gemma":[0.9995583,0.0001093956,0.00002769324,0.00000895462,0.00000455506,0.000003380181,0.0001378856,4.633863e-7,0.0001493687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004211035,"threshold_uncertainty_score":0.008373082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891572738328338,"score_gpt":0.2976296034207876,"score_spread":0.2687138760375042,"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."}}