{"id":"W4317698767","doi":"","title":"Lattice boltzmann model for solving kinetic equation modeling turbulent particle-laden flows","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Lattice Boltzmann methods; HPP model; Statistical physics; Boltzmann equation; Bhatnagar–Gross–Krook operator; Lattice gas automaton; Kinetic energy; Physics; Turbulence; Mechanics; Thermodynamics; Classical mechanics","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":[0.0004257143,0.0006961159,0.001390969,0.0005410768,0.0008591732,0.001538765,0.002665012,0.001896531,0.003531806],"category_scores_gemma":[0.001549817,0.0006079832,0.001115338,0.0008663161,0.0009295209,0.001517121,0.0009874075,0.001940498,0.001008997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119241,"about_ca_system_score_gemma":0.002109755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02660594,"about_ca_topic_score_gemma":0.01043506,"domain_scores_codex":[0.9996403,0.00009120143,0.0000196024,0.00005403516,0.0001381116,0.0000567526],"domain_scores_gemma":[0.9994054,0.0002312975,0.00005035125,0.00003322347,0.0002088776,0.00007090467],"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":[0.0000303314,0.00003939843,0.000446612,0.00004661208,0.00002031873,0.00006520361,0.00003463288,0.9638604,0.001682635,0.02924012,0.0008475942,0.003686208],"study_design_scores_gemma":[0.000002977636,0.000001656621,0.00001707215,0.000001275728,0.00000138432,0.000003577043,0.000002774641,0.9979932,0.00009275237,0.001673851,0.0002068545,0.000002493509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02821692,0.0008674242,0.958174,0.0006265048,0.0004372298,0.00007823691,0.0003090867,0.0003530289,0.01093761],"genre_scores_gemma":[0.7527803,0.001569474,0.1908519,0.0005767287,0.0003722265,0.0005595945,0.00135075,0.0005873326,0.05135163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02660594,"threshold_uncertainty_score":0.05290216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05329323310341907,"score_gpt":0.2615977329152278,"score_spread":0.2083044998118087,"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."}}