{"id":"W2049294071","doi":"10.1080/00207543.2014.993774","title":"A new sampling strategy for the Shewhart control chart monitoring a process with wandering mean","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Manitoba","keywords":"Control chart; Autocorrelation; Shewhart individuals control chart; Statistics; Sampling (signal processing); Chart; Statistical process control; X-bar chart; Autoregressive model; Sensitivity (control systems); Process (computing); Mathematics; Computer science; Control limits; EWMA chart; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008480058,0.0001148328,0.0002149204,0.0004203073,0.000355699,0.0006179166,0.001266618,0.00003624231,0.00003816577],"category_scores_gemma":[0.00955041,0.00006549748,0.00007168439,0.0004642628,0.0001281779,0.0008360044,0.00005737178,0.0005786577,0.00001129752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345482,"about_ca_system_score_gemma":0.0003308197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001249848,"about_ca_topic_score_gemma":0.000008410247,"domain_scores_codex":[0.9945116,0.0001663966,0.0006836519,0.0003483649,0.003971082,0.0003188907],"domain_scores_gemma":[0.9879186,0.003651234,0.0004120046,0.0002422737,0.007609715,0.0001661607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00197072,0.00007460425,0.007314417,0.00002260903,0.0002266777,0.000009981033,0.001382419,0.1610535,0.005266855,0.003278499,0.0008572428,0.8185425],"study_design_scores_gemma":[0.01241219,0.004331366,0.03377493,0.001765795,0.0001711961,0.001875276,0.03921082,0.05319547,0.1279939,0.6506928,0.07332519,0.001251165],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03919958,0.0001814971,0.9511907,0.006901353,0.002100413,0.0002940447,0.000003155336,0.00001290736,0.0001164325],"genre_scores_gemma":[0.9841487,0.0000178956,0.009366152,0.00001445522,0.005643947,0.00002490597,2.411149e-7,0.00001785083,0.0007658376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9449492,"threshold_uncertainty_score":0.9987926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4373672063993416,"score_gpt":0.5770258063134877,"score_spread":0.139658599914146,"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."}}