{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01755343,0.00151516,0.001259103,0.01425894,0.001037766,0.004851515,0.003976596,0.001196443,0.003351544],"category_scores_gemma":[0.06720693,0.0009247392,0.001955234,0.01893962,0.00184842,0.004264827,0.001056262,0.002334467,0.000900348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005748578,"about_ca_system_score_gemma":0.005695137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04022051,"about_ca_topic_score_gemma":0.01623733,"domain_scores_codex":[0.9846327,0.005375519,0.002099595,0.001689519,0.005853248,0.00034928],"domain_scores_gemma":[0.9214119,0.04433286,0.005187592,0.003349872,0.02494817,0.0007696033],"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":[0.00008415594,0.00007294796,0.003247279,0.00604407,0.0001018668,0.0001377574,0.0005738144,0.01555376,0.0004993496,0.04087988,0.04369342,0.8891117],"study_design_scores_gemma":[0.00004514946,0.0004015069,0.01597927,0.02115305,0.0003099662,0.0006196561,0.0009523755,0.03905806,0.003307536,0.026719,0.8910723,0.0003821572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007484421,0.7024162,0.2450648,0.007907677,0.002456927,0.0006907751,0.002518536,0.002980853,0.02847982],"genre_scores_gemma":[0.09434095,0.6748462,0.2162536,0.001716649,0.002292329,0.001019427,0.0047199,0.0007584944,0.00405246],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04022051,"threshold_uncertainty_score":0.09283257,"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."}}