{"id":"W2544471545","doi":"10.26873/svr-24719-2016","title":"MICROBIOLOGICAL MONITORING OF MASTITIS PATHOGENS IN THE CONTROL OF UDDER HEALTH IN DAIRY COWS","year":2016,"lang":"en","type":"article","venue":"Slovenian Veterinary Research","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mastitis; Milking; Udder; Veterinary medicine; Herd; California mastitis test; Quarter (Canadian coin); Somatic cell count; Animal science; Biology; Medicine; Microbiology; Lactation; Ice calving; Geography; Pregnancy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003059433,0.00009526002,0.0002758954,0.00004905205,0.00007020009,0.0000102073,0.0005234294,0.00009577968,0.0003364365],"category_scores_gemma":[0.0002424442,0.00003041935,0.0000700147,0.0004436376,0.0003141383,0.00006679376,0.0001421166,0.0002316607,0.00001170311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004414669,"about_ca_system_score_gemma":0.00003051208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004475343,"about_ca_topic_score_gemma":0.0003345586,"domain_scores_codex":[0.9971135,0.001470799,0.0004273374,0.0002568112,0.0002700253,0.0004614909],"domain_scores_gemma":[0.9984827,0.001183612,0.0000820393,0.0001245932,0.00006937106,0.00005765357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000342104,0.0002400711,0.05653042,0.000045614,0.00000534739,0.00006089798,0.000459552,0.000001265497,0.8126711,0.0005541096,0.0002531541,0.1288364],"study_design_scores_gemma":[0.0009171378,0.003968308,0.9731891,0.000394437,0.000001257857,0.00005096016,0.001862499,0.000005181102,0.002154785,0.001129043,0.01617985,0.0001474977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934621,0.0004451229,0.000009274814,0.004962821,0.00007150775,0.0003595586,0.0002557197,0.000006378933,0.0004274523],"genre_scores_gemma":[0.9992775,0.0003698553,0.0000793119,0.00005799818,0.00009660866,0.00002904609,0.000006246096,9.442223e-7,0.00008250831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9166586,"threshold_uncertainty_score":0.3683743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607635728619374,"score_gpt":0.3675776313276245,"score_spread":0.2068140584656871,"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."}}