{"id":"W1547408280","doi":"10.1002/qre.1559","title":"Robust Control Charts for Monitoring Process Variability in Phase I Multivariate Individual Observations","year":2013,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"University of Waterloo","keywords":"Multivariate statistics; Control chart; Estimator; Outlier; Covariance; Statistics; Robust statistics; Control limits; Mathematics; Statistical process control; Computer science; Process (computing)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004712428,0.001091269,0.0008556833,0.001208802,0.0003735244,0.001530105,0.001020368,0.0007355686,0.0006747266],"category_scores_gemma":[0.01829798,0.0002918527,0.000490125,0.0008764279,0.001144615,0.001324506,0.0008567191,0.001048464,0.0001346177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008315195,"about_ca_system_score_gemma":0.0008480743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003081756,"about_ca_topic_score_gemma":0.001353404,"domain_scores_codex":[0.9975611,0.000792821,0.0001665195,0.0004585757,0.0008952714,0.0001257586],"domain_scores_gemma":[0.9909465,0.00467069,0.002038078,0.0005642711,0.001652605,0.0001277531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001709813,0.00004546394,0.001031942,0.00008837226,0.00004581091,0.00005568579,0.00009605415,0.8955223,0.005632531,0.01628653,0.0007058526,0.08031851],"study_design_scores_gemma":[0.000009476399,0.00005744819,0.0003310455,0.000009006081,0.000009181425,0.00001213652,0.000005417402,0.9935564,0.00234329,0.003305681,0.0003454556,0.00001556166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01807886,0.0004029385,0.9804419,0.00005112907,0.0000270524,0.00003192002,0.00004287344,0.0004140758,0.0005091992],"genre_scores_gemma":[0.8683236,0.0004682541,0.1301837,0.00005023985,0.00007023921,0.0001440606,0.0001648552,0.00007680883,0.0005181349],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004712428,"threshold_uncertainty_score":0.02492201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.201915028573221,"score_gpt":0.4417806277833971,"score_spread":0.2398655992101761,"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."}}