{"id":"W2017302001","doi":"10.1016/j.eswa.2010.11.044","title":"A new nonparametric EWMA Sign Control Chart","year":2010,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"National Science Council","keywords":"EWMA chart; Control chart; Chart; Statistics; X-bar chart; Computer science; Control limits; Nonparametric statistics; Normality; Shewhart individuals control chart; Step detection; Mathematics; Process (computing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000637851,0.0002023792,0.000370476,0.0002621925,0.0003247877,0.0003341584,0.0008630913,0.0001027793,0.0001638142],"category_scores_gemma":[0.001166734,0.0001383484,0.00004892304,0.001663309,0.0001062788,0.0003091386,0.00004180043,0.000304649,0.001401135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003840562,"about_ca_system_score_gemma":0.0001624798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581538,"about_ca_topic_score_gemma":0.00002254197,"domain_scores_codex":[0.9970655,0.00005806278,0.0006336944,0.0006865928,0.001199879,0.0003562215],"domain_scores_gemma":[0.995447,0.002212216,0.0003004017,0.001109088,0.0004891857,0.0004421215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002057173,0.0004247365,0.01156037,0.00004160267,0.0001299988,0.00002411164,0.001736189,0.002734038,0.04169273,0.3663185,0.0902934,0.4848386],"study_design_scores_gemma":[0.001437128,0.0001216069,0.002172046,0.00002681067,0.00001778997,0.00007557736,0.001029643,0.008426374,0.0008496324,0.01516964,0.970091,0.0005827736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004027708,0.000471042,0.991859,0.0005229079,0.0004687872,0.001133249,0.00002589761,0.0001560014,0.004960353],"genre_scores_gemma":[0.9383841,0.000003442168,0.054798,0.0001107819,0.001029647,0.001684409,0.000003217006,0.00003019442,0.003956224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9379813,"threshold_uncertainty_score":0.9993764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04499023868176891,"score_gpt":0.3833046998646136,"score_spread":0.3383144611828447,"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."}}