{"id":"W4246355208","doi":"10.32920/ryerson.14662656","title":"Applying Six Sigma™ to Environmental Management System Design","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Six Sigma; DMAIC; Design for Six Sigma; Process (computing); Quality by Design; Computer science; Process management; Order (exchange); Sigma; Quality (philosophy); Systems engineering; Manufacturing engineering; Engineering; Operations management; Business","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":[],"category_scores_codex":[0.001486958,0.0007349055,0.0007925992,0.0006610831,0.0003303819,0.001979667,0.001048479,0.0002856068,0.0007396469],"category_scores_gemma":[0.00001662297,0.0007612113,0.0003355092,0.0003768493,0.00003445685,0.0006253694,0.005265168,0.0003858212,0.002750953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003766252,"about_ca_system_score_gemma":0.00001641369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006819189,"about_ca_topic_score_gemma":0.00004983711,"domain_scores_codex":[0.995835,0.00008651457,0.0009375386,0.00144734,0.0009793511,0.0007142684],"domain_scores_gemma":[0.9980485,0.00004639543,0.0004749789,0.001332647,0.000043312,0.00005417046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003678951,0.001849241,0.003877599,0.08110043,0.004738544,0.002649839,0.0009272702,0.1433324,0.001277927,0.3996733,0.2721053,0.0881003],"study_design_scores_gemma":[0.001630763,0.00002576804,0.001797332,0.004024189,0.001397395,0.00001021769,0.03757305,0.03624553,0.0001935102,0.000970996,0.9122173,0.003913995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007531905,0.0003197784,0.7290212,0.0008995796,0.005345734,0.01183952,0.00001381059,0.001611279,0.2434172],"genre_scores_gemma":[0.965839,0.00002926694,0.01030037,0.005491549,0.002311593,0.004593828,0.0004086867,0.0001606716,0.01086504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9583071,"threshold_uncertainty_score":0.9994839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708748135680633,"score_gpt":0.2255666606414496,"score_spread":0.1884791792846433,"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."}}