{"id":"W2278704917","doi":"","title":"Mother's milk : production","year":2014,"lang":"en","type":"article","venue":"˜The œdairy mail/˜The œDairy mail","topic":"Animal health and immunology","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Production (economics); Milk production; Agricultural science; Herd; Library science; Agricultural economics; Animal science; Engineering; Biology; Economics; Economic growth; Computer science","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002029345,0.0006591323,0.0006291042,0.0001800056,0.001361805,0.0001097591,0.001410289,0.0004317793,0.00158247],"category_scores_gemma":[0.0001692539,0.0004369703,0.0003283973,0.0005594914,0.0007432378,0.0003480221,0.000427193,0.001179694,0.00692745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218257,"about_ca_system_score_gemma":0.0001878716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000757308,"about_ca_topic_score_gemma":0.0005042277,"domain_scores_codex":[0.994771,0.001228137,0.0009202654,0.001037736,0.0005728702,0.001469971],"domain_scores_gemma":[0.9964717,0.0004281194,0.0004432668,0.0022174,0.0001946001,0.0002448968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01901276,0.001698677,0.009654169,0.00105457,0.0008919048,0.0002011774,0.0121257,0.0001483676,0.02741451,0.01616144,0.6759868,0.2356499],"study_design_scores_gemma":[0.001274026,0.003186623,0.03730922,0.00008868933,0.0001263384,0.00100062,0.001421071,0.00136458,0.0002708288,0.004880504,0.9482944,0.0007830836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261546,0.002826052,0.001542981,0.01686552,0.006036398,0.002116615,0.00004004833,0.0009697854,0.04344801],"genre_scores_gemma":[0.9635174,0.0001584655,0.0002557739,0.004243108,0.002325694,0.0002611591,0.00003139561,0.0001662022,0.02904076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2723076,"threshold_uncertainty_score":0.9999383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824609422293188,"score_gpt":0.2927516626937144,"score_spread":0.2545055684707825,"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."}}