{"id":"W2095473893","doi":"10.1016/j.seppur.2009.12.027","title":"Distribution of multi-phase gas–solid flow across identical parallel cyclones: Modeling and experimental study","year":2010,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Syncrude; McKnight Foundation","keywords":"Mechanics; Flow (mathematics); Cyclone (programming language); Pressure drop; Dissipation; Thermodynamics; Distribution (mathematics); Materials science; Environmental science; Mathematics; Meteorology; Physics; Engineering; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002531091,0.0002984591,0.0004017948,0.0002935684,0.0004993192,0.0003884686,0.0004739568,0.0003207487,0.0008650722],"category_scores_gemma":[0.0005294611,0.0002520976,0.000226576,0.0003331511,0.000537207,0.0005913067,0.0001968052,0.0002942378,0.0001038683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870964,"about_ca_system_score_gemma":0.0004729917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003843022,"about_ca_topic_score_gemma":0.001682659,"domain_scores_codex":[0.9998899,0.00001720009,0.000004663256,0.00003863383,0.00003326267,0.00001638942],"domain_scores_gemma":[0.99968,0.0001631974,0.00004558303,0.00003479106,0.00005288853,0.00002347066],"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":[0.002177365,0.0009013929,0.01608422,0.0001368198,0.00003248459,0.0002899465,0.0001649784,0.4109867,0.5530487,0.002336822,0.0003171553,0.01352333],"study_design_scores_gemma":[0.00007812792,0.000341456,0.006098302,0.000002310974,0.00001117065,0.00003534924,0.00003483354,0.8386966,0.1542653,0.0002178305,0.0002060068,0.0000127733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941764,0.00004503762,0.00495152,0.00002458833,0.000004266031,0.0000195668,0.00006188647,0.00004827065,0.0006684043],"genre_scores_gemma":[0.9988664,0.00002544345,0.0008392603,0.000001814544,0.000001671083,0.00000769756,0.0000315123,0.000003728817,0.0002223909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003843022,"threshold_uncertainty_score":0.007641256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228383983123087,"score_gpt":0.3226899010149559,"score_spread":0.310406061183725,"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."}}