{"id":"W2897849264","doi":"10.4236/eng.2018.1010050","title":"Analysis of Flow Dynamics in the High-Flux Gas-Solid Riser Using Trajectory Distances across Attractors Reconstructed from Solid Concentration Signals","year":2018,"lang":"en","type":"article","venue":"Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Multifractal system; Trajectory; Mechanics; Attractor; Flow (mathematics); Flux (metallurgy); Probability density function; Intermittency; Physics; Materials science; Geometry; Fractal; Turbulence; Mathematics; Statistics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002171182,0.0001920778,0.0002401505,0.0006579123,0.0001734832,0.0003528478,0.000225725,0.0002082372,0.0008784513],"category_scores_gemma":[0.0004075581,0.0001135233,0.0002390077,0.0005286051,0.0002426202,0.0003313598,0.000162601,0.0003008583,0.0001332189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004978686,"about_ca_system_score_gemma":0.0002639911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025797,"about_ca_topic_score_gemma":0.002061712,"domain_scores_codex":[0.9999251,0.000007984281,0.000003968861,0.00002121978,0.00002764062,0.00001407175],"domain_scores_gemma":[0.9997769,0.00008181274,0.00003981687,0.00001655814,0.00005867796,0.00002624301],"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":[0.0009695748,0.0001993746,0.04901627,0.0002261827,0.00008607423,0.0008760485,0.0008832723,0.08227827,0.787343,0.002225819,0.0004309947,0.07546503],"study_design_scores_gemma":[0.00001927836,0.0003554689,0.153238,0.00001474738,0.00003245255,0.000233795,0.0003119472,0.6294171,0.2148738,0.000470256,0.0009676456,0.00006556083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807576,0.00005118506,0.01823398,0.00002298748,0.000003643546,0.00001282436,0.0002490777,0.0002350667,0.0004336447],"genre_scores_gemma":[0.9916965,0.00004089324,0.00760278,0.000003433817,0.000001319019,0.000009450931,0.0002555318,0.00002408427,0.0003659888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0025797,"threshold_uncertainty_score":0.005129337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036298691810429,"score_gpt":0.2403800382078063,"score_spread":0.230017051289702,"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."}}