{"id":"W2996726760","doi":"10.1002/qre.2595","title":"CUSUM control charts with variable sampling interval for monitoring the ratio of two normal variables","year":2019,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"CUSUM; EWMA chart; Control chart; X-bar chart; Statistics; Chart; Interval (graph theory); Control limits; Statistical process control; Shewhart individuals control chart; Computer science; Variable (mathematics); Sampling (signal processing); 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":[],"consensus_categories":[],"category_scores_codex":[0.003208189,0.0001401744,0.0002974402,0.0000694812,0.00008922865,0.0001254896,0.0004276686,0.00004940937,0.00005109587],"category_scores_gemma":[0.004435905,0.00008939969,0.00005678368,0.0001544822,0.00007355709,0.0003923009,0.0000847452,0.0001915346,0.000003530236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005429453,"about_ca_system_score_gemma":0.00004381281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004607089,"about_ca_topic_score_gemma":9.733265e-7,"domain_scores_codex":[0.997954,0.00006357626,0.0006902275,0.0003729415,0.0007152992,0.0002040161],"domain_scores_gemma":[0.9931777,0.005609799,0.000216478,0.0003152477,0.0006189694,0.00006185254],"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":[0.0003595058,0.00007525146,0.1044905,0.0001744748,0.00009011356,2.769735e-7,0.0004986262,0.7524302,0.007207841,0.132324,0.00001071515,0.002338456],"study_design_scores_gemma":[0.004498077,0.0003658086,0.1161966,0.0004322087,0.00006539061,0.00001420406,0.0008801114,0.7812414,0.006488695,0.08083235,0.008297955,0.0006872118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1975805,0.00002888984,0.8004416,0.0003189272,0.001110549,0.000257278,0.0000759973,0.00002595715,0.0001602638],"genre_scores_gemma":[0.9306359,0.00000247784,0.06887886,0.00002109203,0.0002436162,0.00003840531,0.000003822233,0.0000107986,0.0001650724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7330554,"threshold_uncertainty_score":0.5310513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06337255087407491,"score_gpt":0.3918505518284202,"score_spread":0.3284780009543453,"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."}}