{"id":"W3048518450","doi":"10.1017/jfm.2020.453","title":"Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques in particle-laden flows","year":2020,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Particle (ecology); Mechanics; Torque; Point particle; Classical mechanics; Point (geometry); Materials science; Physics; Geology; Thermodynamics; Mathematics","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":[0.001716636,0.001410862,0.00269867,0.001607933,0.001150443,0.002417476,0.00371668,0.004895291,0.002566059],"category_scores_gemma":[0.00530195,0.001462526,0.001595288,0.001305602,0.003260202,0.003163464,0.002546509,0.002217936,0.0004702788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137981,"about_ca_system_score_gemma":0.002349023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301347,"about_ca_topic_score_gemma":0.006196134,"domain_scores_codex":[0.9994184,0.0002230887,0.00003018012,0.00009786418,0.0001403391,0.00009017168],"domain_scores_gemma":[0.9974197,0.001211329,0.0003426716,0.0001474501,0.0005165336,0.0003623675],"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":[0.00003411949,0.00003670036,0.0002860034,0.00003463746,0.0000253026,0.00008041671,0.00002951135,0.9599944,0.0004804391,0.03767292,0.0003454692,0.0009801176],"study_design_scores_gemma":[0.00000355152,0.000003389324,0.00002894174,0.000001309388,0.000002099246,0.000002720289,0.00000145883,0.9974504,0.0000193113,0.002441938,0.00004120254,0.000003704408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06259985,0.00092315,0.9248963,0.001396081,0.000392084,0.0001310219,0.0002899352,0.0003043337,0.009067108],"genre_scores_gemma":[0.946106,0.00084789,0.03679023,0.0004280452,0.0003685461,0.0002889156,0.0003106211,0.0001986107,0.01466107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01301347,"threshold_uncertainty_score":0.02587545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931279404330448,"score_gpt":0.2400114856615232,"score_spread":0.2206986916182187,"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."}}