{"id":"W4317438548","doi":"10.1016/b978-0-32-390133-8.00019-0","title":"Modeling of short-range interactions between both spherical and non-spherical rigid particles","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lubrication; SPHERES; Range (aeronautics); Particle (ecology); Flow (mathematics); Solver; Mechanics; Collision; Simple (philosophy); Classical mechanics; Physics; Statistical physics; Computer science; Aerospace engineering; Engineering; Geology","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":[0.0001548315,0.0007548245,0.0008505872,0.0002605757,0.0004718029,0.001110042,0.00130039,0.001682146,0.004752806],"category_scores_gemma":[0.0003516365,0.0005067806,0.0009089257,0.0003587222,0.0004251311,0.001009216,0.000647668,0.0006755189,0.000990757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005391118,"about_ca_system_score_gemma":0.0007731911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004966,"about_ca_topic_score_gemma":0.006796614,"domain_scores_codex":[0.9998896,0.000019167,0.000005351417,0.00002151169,0.0000432434,0.00002105713],"domain_scores_gemma":[0.9998393,0.00006968562,0.00002095619,0.00001670408,0.00002767151,0.00002558954],"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":[0.00001693683,0.00003440225,0.0002018821,0.00004011175,0.00002054885,0.00006092443,0.00001818665,0.9782289,0.004006979,0.01043531,0.0008892814,0.006046548],"study_design_scores_gemma":[0.000002384306,0.000005594392,0.00007065458,0.000002238259,0.000002833129,0.00001353633,0.000003805527,0.99715,0.0004182229,0.001605088,0.0007222355,0.000003464327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1170865,0.002430002,0.7842281,0.0007271613,0.000415605,0.00009304779,0.0005840203,0.001002512,0.09343296],"genre_scores_gemma":[0.8047867,0.002085209,0.09819029,0.0001985946,0.0002005936,0.000200118,0.0007855587,0.000377082,0.09317592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01004966,"threshold_uncertainty_score":0.01998228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286486235507816,"score_gpt":0.2443766579476937,"score_spread":0.2157280343969121,"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."}}