{"id":"W2045965069","doi":"10.1155/2013/542305","title":"Robust Control Charts for Monitoring Process Mean of Phase-I Multivariate Individual Observations","year":2013,"lang":"en","type":"article","venue":"Journal of Quality and Reliability Engineering","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Algorithm; Outlier; Covariance; Multivariate statistics; Computer science; Estimator; Artificial intelligence; Statistics; Mathematics; Machine learning","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004676373,0.0001524497,0.0005836973,0.0001575029,0.0001083448,0.0001081127,0.0003637748,0.00008850703,0.000008590445],"category_scores_gemma":[0.01212578,0.0001139281,0.0001249584,0.0002897688,0.00008323801,0.0009662406,0.00003912587,0.0002842137,7.013559e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004029296,"about_ca_system_score_gemma":0.00005766434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000142368,"about_ca_topic_score_gemma":2.881024e-7,"domain_scores_codex":[0.996861,0.00009603737,0.001673255,0.0002397604,0.0008909156,0.0002390688],"domain_scores_gemma":[0.992596,0.004364044,0.0008229304,0.0002218189,0.00179673,0.0001984704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003932339,0.0008704636,0.0757905,0.001304154,0.0002416396,0.000002899724,0.00728054,0.8051327,0.04224113,0.003094976,0.00006483017,0.06358288],"study_design_scores_gemma":[0.01056694,0.00111568,0.5580271,0.0007506478,0.0002394283,0.00002543763,0.006026046,0.2857295,0.02214617,0.1141213,0.0003554786,0.0008961323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5450308,0.0001021554,0.4539462,0.0003321295,0.0003495454,0.0001934455,0.00003320137,0.000009748223,0.000002705737],"genre_scores_gemma":[0.9481547,0.000008237766,0.05154928,0.00001251769,0.000233275,0.00001887295,5.394918e-7,0.00001156382,0.00001100138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5194032,"threshold_uncertainty_score":0.9961955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2650084686160439,"score_gpt":0.4448348476089003,"score_spread":0.1798263789928564,"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."}}