{"id":"W2790569560","doi":"10.1002/cjce.23191","title":"Hydrodynamic analysis of gas‐liquid‐liquid‐solid reactors using the XDEM numerical approach","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slag (welding); Work (physics); Viscosity; Momentum (technical analysis); Coke; Mechanics; Flow (mathematics); Discrete element method; Multiphase flow; Liquid phase; Materials science; Fluid dynamics; Superficial velocity; Phase (matter); Chemistry; Thermodynamics; Metallurgy; Mechanical engineering; Engineering; Composite material; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003597115,0.0001955138,0.000416177,0.000336156,0.0000823385,0.00004018078,0.0005623814,0.0001102286,0.00003737705],"category_scores_gemma":[0.0001540749,0.0001302586,0.0002310295,0.001050678,0.0001537499,0.00008988491,0.00001930267,0.0004890555,0.000001191902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446315,"about_ca_system_score_gemma":0.0001654679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004402595,"about_ca_topic_score_gemma":0.0001020058,"domain_scores_codex":[0.9987469,0.00001999755,0.0004815038,0.0001020131,0.0002457378,0.0004038608],"domain_scores_gemma":[0.9991014,0.00009838703,0.0001231437,0.0002698127,0.0001363066,0.0002709379],"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":[0.0000352464,0.000008555085,0.00004791522,0.00006415653,0.001005412,0.00001167928,0.001688189,0.8394381,0.1568284,0.0006224155,0.00008006972,0.0001698567],"study_design_scores_gemma":[0.0001335365,0.00006864267,0.00004964011,0.00006572475,0.0006430118,0.0001214425,0.00006579675,0.9012365,0.09590816,0.000007046325,0.001476194,0.0002243142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826174,0.0004866713,0.01565364,0.00008798233,0.000275858,0.00005500812,0.000007569169,0.00003080208,0.0007850296],"genre_scores_gemma":[0.9989281,0.000005015209,0.0006905557,0.00003547652,0.0002871913,0.00000122379,0.000001975336,0.00003994073,0.00001053842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06179838,"threshold_uncertainty_score":0.5311794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118169463613648,"score_gpt":0.2153624308307852,"score_spread":0.2041807361946488,"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."}}