{"id":"W2117915076","doi":"10.1002/qre.912","title":"A process capability/customer satisfaction approach to short‐run processes","year":2008,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Customer satisfaction; Statistical process control; Computer science; Process (computing); Perspective (graphical); Control (management); Sample (material); Class (philosophy); Industrial engineering; Operations research; Engineering; Artificial intelligence; Marketing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004908556,0.001220497,0.0008571077,0.001981026,0.0005735073,0.002390745,0.001500328,0.001314416,0.004188974],"category_scores_gemma":[0.008086601,0.0003551549,0.0009171456,0.001773179,0.002195518,0.00242111,0.001799786,0.002595506,0.0005420304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411072,"about_ca_system_score_gemma":0.001101296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002427871,"about_ca_topic_score_gemma":0.001237924,"domain_scores_codex":[0.9957424,0.002020424,0.0001333767,0.000581625,0.00127567,0.0002464862],"domain_scores_gemma":[0.9942296,0.003394704,0.00069872,0.0004144112,0.001022816,0.0002398636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002254497,0.0005211851,0.003759141,0.0002103328,0.000120256,0.0004153274,0.0006984147,0.2656491,0.007345403,0.6384093,0.001686901,0.08095941],"study_design_scores_gemma":[0.00002297195,0.0001881489,0.001405073,0.00002221811,0.00002733458,0.00007532199,0.0001122154,0.8570706,0.001887415,0.136205,0.002939947,0.00004376252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01364426,0.0003067328,0.9774588,0.0004878215,0.0000467653,0.00009931903,0.00003776044,0.0001122416,0.007806253],"genre_scores_gemma":[0.84764,0.0005728976,0.1451125,0.0003482237,0.0003320797,0.0003855038,0.00007399877,0.0000837898,0.005450939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004908556,"threshold_uncertainty_score":0.02595925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086365632150774,"score_gpt":0.4100737802669501,"score_spread":0.3014372170518727,"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."}}