{"id":"W2104209218","doi":"10.2172/825383","title":"COMPUTATIONAL AND EXPERIMENTAL MODELING OF SLURRY BUBBLE COLUMN REACTORS","year":2000,"lang":"en","type":"report","venue":"","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbulence; Mechanics; Computational fluid dynamics; Turbulence kinetic energy; Particle (ecology); Fluidization; Flow (mathematics); Slurry; Bubble; Materials science; Turbulence modeling; Two-phase flow; Work (physics); Multiphase flow; Reynolds stress; Kinetic energy; Reynolds number; Viscosity; Thermodynamics; Physics; Fluidized bed; Geology; Classical mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007607741,0.0001527768,0.000256588,0.00008966723,0.00002649531,0.00001882689,0.000050038,0.0001417284,0.0001475692],"category_scores_gemma":[0.000003481086,0.0001669352,0.0000528163,0.00004194388,0.00001718606,0.00004627027,0.00002383812,0.000128373,0.000002287579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060244,"about_ca_system_score_gemma":0.0001025566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004048701,"about_ca_topic_score_gemma":0.00001410553,"domain_scores_codex":[0.9991733,0.000003351378,0.0002950706,0.0001436561,0.0002627033,0.0001218557],"domain_scores_gemma":[0.999763,0.00001775642,0.0000261357,0.00009194921,0.00005408517,0.00004705927],"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":[0.000002073881,0.00001293714,0.00002824227,0.0001255922,0.00005725281,0.00000342091,0.00009790785,0.9964019,0.0003796745,0.0001013519,0.002332621,0.0004570296],"study_design_scores_gemma":[0.0001062375,0.00001217735,0.00001255723,0.00008009315,0.00001272032,0.00002168334,0.00004292169,0.996523,0.00009921565,0.00006538937,0.002851844,0.000172169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5194427,0.008761507,0.01328787,0.000003131631,0.0008356122,0.0002547208,0.000092886,0.0002575779,0.4570639],"genre_scores_gemma":[0.9941251,0.0006145255,0.00328351,0.00000416285,0.00007900754,0.000006580296,0.0001555817,0.00005258232,0.001678925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4746824,"threshold_uncertainty_score":0.6807419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602886608547954,"score_gpt":0.2411720612793884,"score_spread":0.2251431951939088,"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."}}