{"id":"W2080128253","doi":"10.1002/cjce.22051","title":"CFD modelling of continuous protein extraction process using liquid‐solid circulating fluidized beds","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computational fluid dynamics; Mass transfer; Extraction (chemistry); SCALE-UP; Process (computing); Fluidized bed; Chromatography; Fluidized bed combustion; Materials science; Adsorption; Ion exchange; Chemistry; Process engineering; Mechanics; Ion; Computer science; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005075805,0.0001929647,0.0003820625,0.0001945077,0.0000635496,0.00004281218,0.0002684786,0.0001381877,0.00001217593],"category_scores_gemma":[0.0001617152,0.0001702033,0.0001442858,0.0002397297,0.00004322728,0.000174427,0.000007033325,0.0004925007,0.000001856746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001630957,"about_ca_system_score_gemma":0.0001421957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002272019,"about_ca_topic_score_gemma":0.00001626275,"domain_scores_codex":[0.9986944,0.00001948572,0.0005863849,0.0000907291,0.0002315183,0.0003774764],"domain_scores_gemma":[0.9991631,0.00005984955,0.0001264223,0.0001630896,0.0001847227,0.0003028181],"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":[0.000008674453,0.000002247975,0.00000687697,0.00008384653,0.00003142345,0.000005934506,0.0001915594,0.4017543,0.5977155,0.00005447638,0.000002647207,0.0001425844],"study_design_scores_gemma":[0.0002127493,0.00001741228,5.461678e-7,0.0002048787,0.00003162985,0.0001031901,0.00001163998,0.50394,0.4952641,0.00005814695,0.0000463941,0.0001092294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901068,0.0003789688,0.1090694,0.00002513426,0.0002066364,0.0001116763,0.000002822065,0.00003444534,0.00006408418],"genre_scores_gemma":[0.996855,0.000001604884,0.002769329,0.00000749749,0.0003035331,0.000003176383,0.000001382807,0.00005767083,7.626644e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1067482,"threshold_uncertainty_score":0.6940688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384065512117024,"score_gpt":0.2082133888675966,"score_spread":0.1943727337464264,"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."}}