{"id":"W3204590627","doi":"10.15628/holos.2021.9418","title":"APLICAÇÃO DO LEAN SEIS SIGMA PARA MELHORIA DA ETAPA DE SEPARAÇÃO MAGNÉTICA DE ALTA INTENSIDADE EM UMA EMPRESA DE MINERAÇÃO","year":2021,"lang":"pt","type":"article","venue":"Holos","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Mathematics; Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002217125,0.0009076393,0.001027636,0.0004213177,0.0006561104,0.002500074,0.001136641,0.0005562155,0.003765833],"category_scores_gemma":[0.001128354,0.001013004,0.0005703742,0.001214543,0.0002197562,0.001077312,0.001476761,0.00101767,0.002825742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003837584,"about_ca_system_score_gemma":0.0003192718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008229957,"about_ca_topic_score_gemma":0.0006882993,"domain_scores_codex":[0.9940299,0.0003262796,0.001149486,0.001477051,0.0008361991,0.002181057],"domain_scores_gemma":[0.9967635,0.0003127122,0.0004623589,0.001653302,0.000568136,0.0002400473],"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":[0.001136625,0.003311157,0.04419447,0.00678429,0.002571851,0.008362187,0.01325356,0.002194597,0.0094195,0.03404473,0.7961972,0.0785298],"study_design_scores_gemma":[0.005066787,0.0001973198,0.02748247,0.001229623,0.002748327,0.000249679,0.02842785,0.08992977,0.0031638,0.01606036,0.8219095,0.003534434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298813,0.003169304,0.01623631,0.026328,0.001425969,0.001347831,0.0001014793,0.0005786817,0.02093116],"genre_scores_gemma":[0.9494755,0.0002805296,0.001647201,0.02113956,0.00200775,0.00014353,0.0002812406,0.0001836257,0.02484108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08773518,"threshold_uncertainty_score":0.9992321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854241457477038,"score_gpt":0.2966542944128032,"score_spread":0.2481118798380328,"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."}}