{"id":"W2368983400","doi":"","title":"Design and Implementation of Shewhart Control Chart Based on Graph Control Technology","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Control chart; Shewhart individuals control chart; Graph; Chart; Control (management); EWMA chart; Operating system; Artificial intelligence; Statistics; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126434,0.0009431451,0.0006246197,0.001405944,0.0006220849,0.001668998,0.001633178,0.0006165454,0.004986242],"category_scores_gemma":[0.002449288,0.0003483931,0.0003954453,0.0006173069,0.0006978721,0.0008324716,0.0003659455,0.0007412551,0.0008120578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007815634,"about_ca_system_score_gemma":0.001571845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008392357,"about_ca_topic_score_gemma":0.003280835,"domain_scores_codex":[0.9982412,0.0002946671,0.00009312503,0.0004291913,0.0008054794,0.0001362877],"domain_scores_gemma":[0.9982421,0.000425155,0.00018618,0.0001605718,0.0009127403,0.00007313735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008174583,0.0004357073,0.003633283,0.0007962725,0.0001483151,0.0006423678,0.0008006647,0.1951597,0.1295085,0.0626676,0.01970399,0.5856861],"study_design_scores_gemma":[0.0002639708,0.0006088344,0.002122136,0.00006875303,0.0001265481,0.0002515121,0.00006806418,0.824243,0.1309391,0.006563107,0.0345898,0.0001551381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005946667,0.00009719343,0.9818695,0.00006133188,0.00007341388,0.0003269385,0.00008150873,0.008433174,0.003110354],"genre_scores_gemma":[0.4983376,0.0003442821,0.4906932,0.0002000295,0.0001112425,0.001006362,0.0005122648,0.0005466227,0.00824846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008392357,"threshold_uncertainty_score":0.01668704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006926707750270872,"score_gpt":0.2816549409192646,"score_spread":0.2747282331689938,"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."}}