{"id":"W4372295607","doi":"10.3390/environments10050078","title":"A Review of Control Charts and Exploring Their Utility for Regional Environmental Monitoring Programs","year":2023,"lang":"en","type":"review","venue":"Environments","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Control chart; Univariate; Control (management); Environmental monitoring; Computer science; Quality (philosophy); Data science; Monitoring and control; Air monitoring; Bar chart; Shewhart individuals control chart; Multivariate statistics; Data mining; Operations research; Environmental science; Engineering; EWMA chart; Machine learning; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001940866,0.0005255452,0.002150328,0.0001394736,0.0001655606,0.00004650841,0.0006870156,0.0001512725,0.00003517264],"category_scores_gemma":[0.001143604,0.000386658,0.0004535814,0.0002271034,0.0003125269,0.0003108091,0.000327191,0.0003066781,0.00008929979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468019,"about_ca_system_score_gemma":0.00003151607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000010991,"about_ca_topic_score_gemma":8.083607e-8,"domain_scores_codex":[0.995316,0.000246459,0.001687463,0.001102047,0.001173477,0.0004745573],"domain_scores_gemma":[0.9952505,0.00272364,0.001042948,0.0007492861,0.00001310537,0.0002204881],"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":[0.000007204936,0.00005703665,0.0002283126,0.0167848,0.00008080334,0.000002691793,0.00003836697,4.513565e-7,0.000001456159,0.00001124652,0.00004955595,0.9827381],"study_design_scores_gemma":[0.0002745953,0.00007580846,0.0002206269,0.04868807,0.0002482466,0.000006218216,0.00009097633,0.00001772864,0.000004358518,0.001392521,0.9486436,0.0003372074],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000226663,0.9905715,0.006363022,0.00001436483,0.0004113179,0.002177527,0.0003976078,0.00002922381,0.000012787],"genre_scores_gemma":[0.00032146,0.9960854,0.00119437,0.00001575438,0.0002545385,0.001762017,0.00005412367,0.00008276417,0.0002295947],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9824009,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5852475368745482,"score_gpt":0.4757203869027256,"score_spread":0.1095271499718226,"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."}}