{"id":"W7055399977","doi":"","title":"Characterization of quarter milk yield losses during clinical mastitis in dairy cows","year":2021,"lang":"en","type":"article","venue":"Lirias","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mastitis; Dairy cattle; Quarter (Canadian coin); Milk production","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001111471,0.00005895726,0.0001444745,0.00004264335,0.00001923249,0.00001995134,0.00007188711,0.00002843281,0.1001261],"category_scores_gemma":[0.00003111278,0.00006109006,0.00005209638,0.0001381375,0.00002601623,0.00002013315,0.00007391094,0.000110178,0.00004066795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001974404,"about_ca_system_score_gemma":0.00006281737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504231,"about_ca_topic_score_gemma":0.00009005447,"domain_scores_codex":[0.9991919,0.00005932127,0.000324796,0.0001581721,0.0001355957,0.0001301832],"domain_scores_gemma":[0.9995651,0.00009457071,0.00005987431,0.0001789811,0.00006139384,0.00004011026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004791003,0.0004350831,0.6355428,0.00007116296,0.00003088745,0.00002939124,0.0002728383,0.00000141676,0.2985165,0.001503858,0.0013933,0.06215483],"study_design_scores_gemma":[0.0008772576,0.00005338563,0.9307726,0.00009889249,0.000007275435,5.604027e-7,0.0003691139,0.0001497182,0.05282745,0.00005157892,0.01468763,0.0001045318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728998,0.000009081627,0.0001972596,0.001145337,0.0001532704,0.0001101664,0.00002284635,0.000005295482,0.02545696],"genre_scores_gemma":[0.9940228,0.0000106471,0.00007257055,0.00003517541,0.0002014936,0.00001295648,0.00005842126,0.000004894348,0.005581019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2952298,"threshold_uncertainty_score":0.9006965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268395078736339,"score_gpt":0.294825328998131,"score_spread":0.2679858211244971,"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."}}