{"id":"W2767315066","doi":"10.1016/j.cherd.2017.11.002","title":"Experimental investigation on an aerated mixing vessel through electrical resistance tomography (ERT) and response surface methodology (RSM)","year":2017,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Aeration; Mixing (physics); Agitator; Response surface methodology; Materials science; Mechanical engineering; Mechanics; Process engineering; Chemistry; Engineering; Chromatography; Waste management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006024279,0.000556456,0.000730449,0.0002040813,0.0007282433,0.0004743221,0.0005227076,0.000999238,0.0008822532],"category_scores_gemma":[0.0006276781,0.0002109372,0.0003729003,0.0002824603,0.0005759973,0.0005338098,0.0004419761,0.000482884,0.0002065054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178963,"about_ca_system_score_gemma":0.000353478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007496921,"about_ca_topic_score_gemma":0.0008049947,"domain_scores_codex":[0.9995607,0.00006856166,0.00002930142,0.0001268803,0.0001651584,0.00004947494],"domain_scores_gemma":[0.9996778,0.0001011,0.00006004369,0.00005163286,0.00008164361,0.00002777593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002132133,0.0001211182,0.0004043264,0.00006999799,0.00000708993,0.0001007227,0.00007092354,0.0008309542,0.996342,0.0000904737,0.00002435703,0.001724782],"study_design_scores_gemma":[0.0000341708,0.001677746,0.003404325,0.000005653842,0.00002983897,0.0000919339,0.00009101565,0.005834711,0.9880656,0.00005994246,0.0006860591,0.00001900327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990377,0.0001061666,0.008684253,0.00004668252,0.00001964786,0.00005922474,0.000132577,0.00007825295,0.0004962516],"genre_scores_gemma":[0.9826959,0.0001763375,0.01590737,0.00001979111,0.0000113688,0.00007056389,0.00009562365,0.00002053393,0.001002401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000999238,"threshold_uncertainty_score":0.003185987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457649363234386,"score_gpt":0.2556125147767368,"score_spread":0.2210360211443929,"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."}}