{"id":"W2021242700","doi":"10.1108/02656710110393529","title":"A power approximation model for the joint determination of X and R control chart parameters","year":2001,"lang":"en","type":"article","venue":"International Journal of Quality & Reliability Management","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"\\bar x and R chart; Control chart; Chart; X-bar chart; Power (physics); Mathematics; Control limits; Heuristic; Sample size determination; Statistics; Set (abstract data type); Data set; Joint (building); Applied mathematics; Mathematical optimization; Computer science; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.007410389,0.0001014575,0.0002765607,0.000179181,0.00006701289,0.0001131585,0.0005692916,0.00003281149,0.00001525594],"category_scores_gemma":[0.006318146,0.00006559098,0.0001524077,0.0001225971,0.0001637623,0.0004595178,0.00009694974,0.0001106934,0.000001468817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209887,"about_ca_system_score_gemma":0.0000232517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005976376,"about_ca_topic_score_gemma":0.00000226844,"domain_scores_codex":[0.9963546,0.0001596266,0.001452332,0.0002241556,0.001686151,0.0001231619],"domain_scores_gemma":[0.9940379,0.002732802,0.001116368,0.000256451,0.001797973,0.00005856357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002754161,0.0007161539,0.007700093,0.0001567503,0.0003940432,0.00001477315,0.002999557,0.145666,0.0009857635,0.08083431,0.000347196,0.7574311],"study_design_scores_gemma":[0.001274939,0.0001112305,0.01659811,0.00004410504,0.0000449998,0.000009241204,0.0009960467,0.5672162,0.0001852945,0.4127072,0.0007206667,0.00009194281],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08754246,0.00004745084,0.9063284,0.00514989,0.0003766593,0.0003562715,0.00002382211,0.000004744023,0.0001702319],"genre_scores_gemma":[0.9401698,0.00004884054,0.05939044,0.0002065845,0.00004228559,0.00002024316,7.671019e-7,0.000005254301,0.0001158332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8526273,"threshold_uncertainty_score":0.7563868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611938304047689,"score_gpt":0.4557645759503024,"score_spread":0.2945707455455335,"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."}}