{"id":"W4309945118","doi":"10.7769/gesec.v13i3.1341","title":"A utilização de S&OP para o aumento da produtividade e redução do impacto ambiental na cadeia produtiva de alimentos: o caso da produção de maçã no Brasil","year":2022,"lang":"pt","type":"article","venue":"Revista de Gestão e Secretariado (Management and Administrative Professional Review)","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanities; Agricultural science; Environmental science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007393887,0.0005862709,0.0005862734,0.0007949838,0.0004369078,0.001657132,0.000529684,0.0009217831,0.004780723],"category_scores_gemma":[0.00140662,0.0003073226,0.0009918611,0.000721538,0.0005511551,0.000986145,0.0006426093,0.0007037082,0.001048782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006333692,"about_ca_system_score_gemma":0.0009290932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005676221,"about_ca_topic_score_gemma":0.007286066,"domain_scores_codex":[0.9993562,0.00008605339,0.00004785761,0.000188763,0.0002366079,0.00008452242],"domain_scores_gemma":[0.9990979,0.0002917922,0.0001960288,0.00008316593,0.0002656127,0.00006550069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001709054,0.000294632,0.006027271,0.002237894,0.00008750232,0.0002754324,0.0003202201,0.001478035,0.8996556,0.0006777954,0.0005806101,0.08665586],"study_design_scores_gemma":[0.00006126738,0.003328244,0.02742707,0.0002197856,0.0003431128,0.0003445102,0.0005760386,0.006147888,0.9309974,0.0004850727,0.02999164,0.00007783834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570409,0.01378697,0.01419566,0.0004763458,0.0002821524,0.0002009579,0.001008113,0.0004122201,0.01259674],"genre_scores_gemma":[0.9653246,0.006511082,0.01588098,0.0002833525,0.00004821793,0.0001500756,0.0004369862,0.00009388834,0.01127084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005676221,"threshold_uncertainty_score":0.01599306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07444205914516487,"score_gpt":0.3553258679185018,"score_spread":0.280883808773337,"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."}}