{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000723547,0.0006277329,0.0004273836,0.0006908175,0.0005822204,0.001623453,0.0004983484,0.0007857479,0.03150738],"category_scores_gemma":[0.00182982,0.0001741452,0.0002287595,0.0005957351,0.0002236276,0.0006569994,0.001120317,0.0006734671,0.00835809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008743335,"about_ca_system_score_gemma":0.0008109941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716783,"about_ca_topic_score_gemma":0.002280865,"domain_scores_codex":[0.9995993,0.00008884253,0.00002655741,0.0000648832,0.0001652119,0.00005529953],"domain_scores_gemma":[0.9996067,0.00007682785,0.00006731359,0.00002220667,0.0001253746,0.0001015998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008102036,0.0002845869,0.02210167,0.002167214,0.00009465575,0.003126977,0.001741573,0.00007864506,0.03715836,0.00387063,0.1306231,0.7979425],"study_design_scores_gemma":[0.00007347264,0.0006839166,0.0735522,0.00236183,0.0001194213,0.006863305,0.001601634,0.0001569659,0.01644195,0.001806395,0.896303,0.00003590202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.1914868,0.3629051,0.008442176,0.06521685,0.01418853,0.0003051606,0.01066249,0.002221144,0.3445718],"genre_scores_gemma":[0.5326383,0.1481776,0.01452312,0.008116869,0.003744415,0.0002903743,0.004408808,0.0005044637,0.287596],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03150738,"threshold_uncertainty_score":0.1054026,"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."}}