{"id":"W3176657897","doi":"10.3390/pr9061072","title":"Modelling and Multi-Objective Optimization of the Sulphur Dioxide Oxidation Process","year":2021,"lang":"en","type":"article","venue":"Processes","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catalysis; Chemistry; Sulfur dioxide; Ranking (information retrieval); Multi-objective optimization; Process engineering; Sulfur trioxide; Thermodynamics; Mathematics; Inorganic chemistry; Computer science; Mathematical optimization; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001018179,0.00119192,0.001336833,0.0007084602,0.0005012906,0.001732251,0.0009069333,0.00177688,0.002038673],"category_scores_gemma":[0.00122921,0.0005910002,0.001363723,0.0007207126,0.0006497233,0.0005828711,0.0008044162,0.0009538116,0.0002498949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086192,"about_ca_system_score_gemma":0.001420229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054443,"about_ca_topic_score_gemma":0.005725736,"domain_scores_codex":[0.9995837,0.0001720674,0.00002053673,0.00006087728,0.00009233692,0.00007060238],"domain_scores_gemma":[0.9994448,0.000384774,0.00007070928,0.00001533181,0.00006486056,0.00001959442],"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":[0.000008854432,0.000009977309,0.00007477482,0.00002228149,0.000006427966,0.00001499288,0.000005503198,0.9984798,0.0003053678,0.0004329009,0.00001805402,0.0006210865],"study_design_scores_gemma":[0.000002729956,0.00001527234,0.00005382846,0.000002173294,0.000002627582,0.000002061703,0.000004219067,0.9995614,0.0001418518,0.0001357895,0.00007647,0.000001680846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2858896,0.001661544,0.6859556,0.0005125415,0.0001033722,0.0003126215,0.0004685143,0.0002390081,0.02485718],"genre_scores_gemma":[0.9450384,0.0007287523,0.047686,0.00004745515,0.00002041427,0.0004490942,0.0002044737,0.00003316789,0.00579225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054443,"threshold_uncertainty_score":0.02096611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147291364047005,"score_gpt":0.2331021038975696,"score_spread":0.2116291902570996,"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."}}