{"id":"W2121541905","doi":"10.3168/jds.2010-3367","title":"Cow-specific treatment of clinical mastitis: An economic approach","year":2010,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Stichting voor de Technische Wetenschappen; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministerie van Economische Zaken","keywords":"Streptococcus dysgalactiae; Mastitis; Antimicrobial; Somatic cell count; Medicine; Antibiotics; Regimen; Streptococcus uberis; Lactation; Staphylococcus aureus; Streptococcus agalactiae; Internal medicine; Biology; Streptococcus; Pregnancy; Microbiology; Bacteria; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00254177,0.0006816468,0.0009860623,0.001165602,0.0004078485,0.001342859,0.001248826,0.00124027,0.003958967],"category_scores_gemma":[0.00588115,0.000505093,0.001273552,0.001028021,0.0005327564,0.0009583196,0.0009853598,0.0007281587,0.0001205921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002804917,"about_ca_system_score_gemma":0.003259373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005976677,"about_ca_topic_score_gemma":0.006997962,"domain_scores_codex":[0.9980541,0.001423293,0.00004710105,0.00009874465,0.0002232349,0.0001535552],"domain_scores_gemma":[0.9981707,0.001336765,0.0002153498,0.00005224912,0.0001332549,0.00009154942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003417329,0.0002961704,0.005083223,0.0002821739,0.0002188381,0.0001756935,0.00005150814,0.948548,0.0007559104,0.01381255,0.000450094,0.02998409],"study_design_scores_gemma":[0.0001289802,0.0006679701,0.003440128,0.00008416859,0.0002502569,0.0001129867,0.0001607136,0.9823701,0.0005019463,0.009716175,0.002537805,0.00002869507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6141655,0.006865436,0.3123562,0.005592488,0.0001923389,0.002661243,0.001373551,0.0001765895,0.05661657],"genre_scores_gemma":[0.9783816,0.001345146,0.01821624,0.0001640078,0.00002279686,0.0002852896,0.0001019438,0.00001124022,0.001471806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005976677,"threshold_uncertainty_score":0.02035123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0927173076128673,"score_gpt":0.3326820034880507,"score_spread":0.2399646958751834,"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."}}