{"id":"W4295808941","doi":"10.1002/cjce.24658","title":"A novel robust dynamic method for <scp>NOx</scp> emissions prediction in a thermal power plant","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outlier; NOx; Probabilistic logic; Computer science; Boiler (water heating); Latent variable; Thermal power station; Power station; Data mining; Machine learning; Artificial intelligence; Engineering; Chemistry","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":[0.0002937154,0.0007230083,0.0005355669,0.0004841748,0.0002998621,0.000423645,0.0007719172,0.0005371025,0.00127177],"category_scores_gemma":[0.000759203,0.0003842483,0.0006001516,0.0004097258,0.0002146647,0.0005432413,0.0005238451,0.0006459763,0.0002830353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004283567,"about_ca_system_score_gemma":0.0008656646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008653957,"about_ca_topic_score_gemma":0.007133867,"domain_scores_codex":[0.9998085,0.00001965619,0.00001104099,0.00007703575,0.00006001605,0.00002366438],"domain_scores_gemma":[0.999851,0.0000490936,0.00002976144,0.0000124306,0.00004880488,0.000008890961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001374453,0.00008917642,0.001668343,0.00008561467,0.00008278724,0.0001399604,0.00004923212,0.7157305,0.03323092,0.002060138,0.0009753917,0.2457505],"study_design_scores_gemma":[0.000001385468,0.000009048336,0.0001733301,0.000001170591,0.000003247804,0.000006164501,0.000001714596,0.9982191,0.001321437,0.0001610645,0.00009951515,0.000002918165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03945459,0.0001836313,0.9576004,0.0001059207,0.00003534269,0.00002437028,0.00009636181,0.001325599,0.001173902],"genre_scores_gemma":[0.8529471,0.0001515979,0.1438866,0.00007797035,0.00004292577,0.00008245613,0.0002556922,0.000104958,0.002450683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008653957,"threshold_uncertainty_score":0.01720721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009380976470087595,"score_gpt":0.2002324056959666,"score_spread":0.190851429225879,"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."}}