{"id":"W3099379733","doi":"10.21423/aabppro20197179","title":"Growing a milk quality stream in practice","year":2019,"lang":"en","type":"article","venue":"American Association of Bovine Practitioners Conference Proceedings","topic":"Livestock Management and Performance Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Quality (philosophy); Agricultural science; Action plan; Dairy industry; Herd; Service (business); Marketing; Operations management; Food science; Engineering; Medicine; Veterinary medicine; Environmental science; Management; Economics; Biology","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":[0.01151233,0.0003115293,0.0003446736,0.001715933,0.006599925,0.007116067,0.001838434,0.003173369,0.0231856],"category_scores_gemma":[0.01768974,0.0005483713,0.0003784304,0.001367629,0.004218942,0.00448165,0.01054486,0.00530049,0.005509287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01007532,"about_ca_system_score_gemma":0.03359618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03575983,"about_ca_topic_score_gemma":0.1147356,"domain_scores_codex":[0.9911519,0.001724901,0.0004493129,0.001028328,0.004246352,0.001399197],"domain_scores_gemma":[0.9659784,0.001365223,0.002253793,0.001115807,0.009668704,0.01961801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001459082,0.001395687,0.06310833,0.0005568157,0.00002175523,0.001897748,0.01296515,0.0001482303,0.006274937,0.006206201,0.2638738,0.6434053],"study_design_scores_gemma":[0.0001057885,0.00112538,0.1091861,0.001467539,0.00002792619,0.001642067,0.03388034,0.0006532937,0.001833604,0.008165689,0.8418059,0.0001063601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1193263,0.006601491,0.02361003,0.6782431,0.003569001,0.001161266,0.0002276893,0.002702358,0.1645588],"genre_scores_gemma":[0.5709193,0.01280907,0.10608,0.1517407,0.003324306,0.0009472775,0.0006303137,0.001000218,0.1525488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03575983,"threshold_uncertainty_score":0.07756358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336660794262205,"score_gpt":0.261540703438322,"score_spread":0.2481740954956999,"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."}}