{"id":"W2619653818","doi":"10.1002/qre.2157","title":"Phase I monitoring with nonparametric mixed‐effect models","year":2017,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Qazvin Islamic Azad University","keywords":"Nonparametric statistics; Smoothing; Computer science; Stability (learning theory); Kernel density estimation; Data mining; Kernel (algebra); Basis (linear algebra); Process (computing); Algorithm; Mathematics; Statistics; Machine learning","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":[0.01640726,0.0009259325,0.001099491,0.00148316,0.0005676551,0.001299777,0.002004033,0.001317191,0.0012525],"category_scores_gemma":[0.04593787,0.0006062597,0.001895801,0.001571687,0.0009211189,0.001985883,0.001666299,0.001970638,0.0002299303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006878469,"about_ca_system_score_gemma":0.001063942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002915672,"about_ca_topic_score_gemma":0.002602138,"domain_scores_codex":[0.9918881,0.006068409,0.0002578187,0.0009517866,0.0006479161,0.0001859919],"domain_scores_gemma":[0.9535051,0.03742053,0.003539511,0.003295492,0.001992977,0.0002464074],"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":[0.0007795314,0.000410511,0.03570976,0.0002894757,0.0006764569,0.0002951629,0.0003796369,0.7200264,0.002650337,0.077922,0.002193901,0.1586669],"study_design_scores_gemma":[0.00002167834,0.00008342157,0.001375452,0.00001071115,0.00003141296,0.000026511,0.00001750128,0.9818092,0.0007847007,0.01541689,0.0004073739,0.00001509807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02468583,0.00009567416,0.9743547,0.000125457,0.00001546182,0.0001206315,0.000133525,0.000194174,0.0002744418],"genre_scores_gemma":[0.5732078,0.0001648196,0.4240272,0.0001231902,0.00006896621,0.0006412606,0.000668221,0.00006896818,0.001029474],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01640726,"threshold_uncertainty_score":0.08677089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200296351193606,"score_gpt":0.4588307505219472,"score_spread":0.3388011154025866,"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."}}