{"id":"W4392888219","doi":"10.1016/j.jhazmat.2024.134065","title":"Mathematical modelling of a semi-dry SO2 scrubber based on a Lagrangian-Eulerian approach","year":2024,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada); Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois de recherche et de développement de l’aluminium; Rio Tinto; Graymont","keywords":"Flue-gas desulfurization; Scrubber; Relative humidity; Particle size; Lime; Chemistry; Sorbent; Particle (ecology); Wet scrubber; Chemical engineering; Waste management; Materials science; Adsorption; Thermodynamics; Metallurgy; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00118098,0.0002410019,0.0007183748,0.0003275216,0.00002895172,0.0001597638,0.0002368226,0.0002197052,0.0005635686],"category_scores_gemma":[0.00008951962,0.0001820563,0.0002352006,0.0001630387,0.00003138129,0.0001432156,0.00001691888,0.000294954,0.00004072313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008912378,"about_ca_system_score_gemma":0.000113804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003020651,"about_ca_topic_score_gemma":7.751525e-8,"domain_scores_codex":[0.9979396,0.0001006573,0.001051235,0.0001396513,0.0004808545,0.0002880117],"domain_scores_gemma":[0.9991822,0.0001735665,0.0001745811,0.0002268207,0.0001020106,0.0001408817],"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":[0.0003189002,0.0001232651,0.000002007036,0.00104068,0.0002356033,0.0001481383,0.0003098001,0.607664,0.3841972,0.0008079011,0.00413898,0.001013466],"study_design_scores_gemma":[0.001371196,0.0002153507,0.000003137814,0.001824183,0.0002058816,0.0001336571,0.00006797357,0.7297221,0.2617856,0.001160972,0.00319577,0.0003141426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5811833,0.0007155177,0.4010847,0.0004970979,0.004215354,0.0006446969,0.0001217256,0.0003125856,0.01122503],"genre_scores_gemma":[0.9895887,0.00001583695,0.009140197,0.00003883372,0.0009815935,0.000007857033,0.000003178819,0.00008057992,0.0001431699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4084055,"threshold_uncertainty_score":0.7424041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741699709030701,"score_gpt":0.2275314441317017,"score_spread":0.2001144470413947,"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."}}