{"id":"W2011309218","doi":"10.1016/j.scitotenv.2004.10.006","title":"The environmental impact of mastitis: a case study of dairy herds","year":2004,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Udder; Mastitis; Life-cycle assessment; Environmental impact assessment; Environmental science; Greenhouse gas; Herd; Incidence (geometry); Dairy cattle; Production (economics); Animal science; Environmental health; Medicine; Biology; Ecology; Mathematics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001222876,0.0002856684,0.0002754322,0.00002692511,0.0008872699,0.00002282223,0.001409243,0.00005263287,0.0003571223],"category_scores_gemma":[0.00006235391,0.0001231147,0.0002956916,0.0004087978,0.007359245,0.000334253,0.001722326,0.0002427013,0.00003454992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271541,"about_ca_system_score_gemma":0.00004633437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004145872,"about_ca_topic_score_gemma":0.00003639089,"domain_scores_codex":[0.9968998,0.0001670672,0.0005790548,0.0004222534,0.001402524,0.0005293222],"domain_scores_gemma":[0.9979653,0.0001081795,0.0004696636,0.001309716,0.000003303413,0.0001438272],"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":[0.00009437605,0.002322145,0.014526,0.000009782041,0.00009133483,0.0000349976,0.01049198,0.8635466,0.1066518,0.00004072026,0.00003700139,0.00215326],"study_design_scores_gemma":[0.001166536,0.002064563,0.9452117,0.00002012233,0.0001366145,0.0006878739,0.02652678,0.0004181435,0.02267549,0.0007833806,0.00001911146,0.0002896797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981666,0.00006973943,0.00001368938,0.0002345344,0.0000887544,0.001042437,0.00002413546,0.000006575291,0.000353518],"genre_scores_gemma":[0.9995904,0.00003345647,0.00005768706,0.000005575037,0.00001535666,0.00002498976,5.069352e-7,0.00001312199,0.0002589112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9306857,"threshold_uncertainty_score":0.9953421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006508786739374694,"score_gpt":0.2260092815516411,"score_spread":0.2195004948122664,"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."}}