{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000703268,0.0005717588,0.0006594587,0.0004035829,0.0005546945,0.001411962,0.001583696,0.001358271,0.001971123],"category_scores_gemma":[0.001895053,0.0004463658,0.0004995327,0.0004898882,0.0008269583,0.0007549918,0.0005216768,0.0006737001,0.0003399054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809301,"about_ca_system_score_gemma":0.001767392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01668626,"about_ca_topic_score_gemma":0.006613958,"domain_scores_codex":[0.999642,0.00008226429,0.00002208157,0.00006113812,0.0001400277,0.00005245634],"domain_scores_gemma":[0.9993555,0.0003588593,0.00005765678,0.00006416536,0.0001313401,0.00003256353],"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":[0.00003621915,0.00003789203,0.0003319483,0.00003361857,0.000003358243,0.00002925203,0.00001055736,0.9938594,0.00240756,0.001640644,0.00009922737,0.001510512],"study_design_scores_gemma":[0.000007467636,0.00001519889,0.00007532787,0.000001810152,0.000001205133,0.000003788628,0.000003090649,0.9983522,0.001149565,0.0002090652,0.0001787141,0.000002592238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6073946,0.000843289,0.3546774,0.0006891766,0.0001267686,0.0004324585,0.002125257,0.001394981,0.0323159],"genre_scores_gemma":[0.9509632,0.0004186347,0.04416245,0.00005589842,0.00001586876,0.0005172646,0.000700468,0.00006184058,0.003104451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01668626,"threshold_uncertainty_score":0.03317827,"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."}}