{"id":"W2599984785","doi":"","title":"PROSPECTS OF THE MILK PRODUCTION DEVELOPMENT IN THE REGION","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Milking; Production (economics); Milk production; Herd; Quality (philosophy); Agriculture; Livestock; Agricultural science; State (computer science); Computer science; Business; Environmental economics; Agricultural economics; Economics; Microeconomics; Animal science; Environmental science; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004952049,0.000151644,0.0001182117,0.0003185008,0.0003859765,0.001041988,0.0003799641,0.0006949923,0.007535046],"category_scores_gemma":[0.000485135,0.00007462344,0.000227485,0.0002867781,0.0002390378,0.0005432359,0.0005383013,0.000473757,0.001154962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087413,"about_ca_system_score_gemma":0.003055607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004302373,"about_ca_topic_score_gemma":0.003931588,"domain_scores_codex":[0.9998435,0.00003660364,0.000006223542,0.00001601176,0.00002533193,0.00007231946],"domain_scores_gemma":[0.9997713,0.00003309275,0.00003708333,0.000007978874,0.0000910255,0.0000595448],"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":[0.001119335,0.0002757362,0.05379618,0.002612925,0.0001147461,0.004737108,0.002349812,0.008017877,0.03807276,0.2309183,0.1116788,0.5463064],"study_design_scores_gemma":[0.0000273811,0.0002420302,0.06771553,0.0003186802,0.00004007449,0.0008638775,0.002215824,0.001687993,0.00463028,0.00753767,0.9146858,0.00003491298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4466586,0.1022627,0.008750689,0.1780232,0.003699825,0.00008749562,0.00341233,0.0007436489,0.2563615],"genre_scores_gemma":[0.9026114,0.03070734,0.005139904,0.002056249,0.000552715,0.00003507537,0.0007278059,0.00003958483,0.05812991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007535046,"threshold_uncertainty_score":0.02520722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798891541313188,"score_gpt":0.2200109212310328,"score_spread":0.182022005817901,"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."}}