{"id":"W2155988116","doi":"10.1260/1757-482x.2.1.59","title":"Simulation of the Steam-Bitumen Jet in the Fluidized Bed of Coke Particles Using the Eulerian-Lagrangian Splitting Method","year":2010,"lang":"en","type":"article","venue":"The Journal of Computational Multiphase Flows","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coke; Agglomerate; Materials science; Jet (fluid); Nozzle; Mechanics; Asphalt; Fluidized bed; Economies of agglomeration; Breakup; Multiphase flow; Thermodynamics; Composite material; Chemical engineering; Metallurgy; Physics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003023306,0.0001541127,0.0002846062,0.00009559351,0.0001567134,0.00002859793,0.0005472727,0.00006261349,0.0000165923],"category_scores_gemma":[0.0003261221,0.00007088833,0.0001989498,0.0003843999,0.0001088965,0.0001480736,0.00003705556,0.0004488114,8.662818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002321204,"about_ca_system_score_gemma":0.00006570804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003511716,"about_ca_topic_score_gemma":0.00003341923,"domain_scores_codex":[0.9978157,0.0005723456,0.0008244499,0.00006816925,0.0005418592,0.0001774834],"domain_scores_gemma":[0.9964175,0.002685492,0.0003494379,0.000254011,0.0002621489,0.0000314764],"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":[0.00007910279,0.00004748966,0.0002113767,0.00001586265,0.00005396175,0.000001122418,0.002284267,0.6657069,0.3299079,0.0001014993,0.0000107756,0.001579742],"study_design_scores_gemma":[0.001658019,0.00003106434,0.001345857,0.00006482543,0.0001175178,0.00003959786,0.0004917044,0.942666,0.05207188,0.001352261,0.00008206276,0.00007918989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007192,0.0002116371,0.09814581,0.000275296,0.0003248834,0.0002858148,0.00001344376,0.000008571593,0.00001536209],"genre_scores_gemma":[0.9814221,0.00000544267,0.01832693,0.00006725894,0.0001547396,0.000001866402,0.00000214905,0.00001905425,4.98949e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.277836,"threshold_uncertainty_score":0.2890742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104387354368329,"score_gpt":0.2913878368529304,"score_spread":0.2703439633092471,"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."}}