{"id":"W2038309076","doi":"10.1016/j.powtec.2013.01.027","title":"Development of a granular normal contact force model based on a non-Newtonian liquid filled dashpot","year":2013,"lang":"en","type":"article","venue":"Powder Technology","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Collision; Coefficient of restitution; Mechanics; Contact force; Particle (ecology); Newtonian fluid; Dissipative system; Range (aeronautics); Work (physics); Discrete element method; Classical mechanics; Collision frequency; Collision response; Physics; Statistical physics; Materials science; Thermodynamics; Plasma; Collision detection; Composite material","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":[0.0002657254,0.0005051661,0.0009413622,0.0004197822,0.0004785169,0.0008460613,0.001730153,0.001686895,0.002272563],"category_scores_gemma":[0.000493445,0.0003912885,0.0006971233,0.0004391695,0.0005994927,0.001282332,0.0007102222,0.0007735356,0.0005045281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000504706,"about_ca_system_score_gemma":0.0009576438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00614051,"about_ca_topic_score_gemma":0.003358539,"domain_scores_codex":[0.9998049,0.00003020094,0.000014132,0.0000377325,0.00009331958,0.00001962608],"domain_scores_gemma":[0.9997849,0.00007187649,0.00002462606,0.00002528871,0.00006886535,0.00002443623],"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":[0.00003764821,0.000101685,0.0005046011,0.0001311458,0.00002013377,0.000251341,0.00005877531,0.9437325,0.01632833,0.02438128,0.0004622346,0.0139903],"study_design_scores_gemma":[0.000002592282,0.000007785776,0.00004148968,0.000001590438,0.000001500195,0.000008471416,0.000002287724,0.9985536,0.0006142699,0.0004660101,0.0002973356,0.000003195953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03177496,0.0002328439,0.9578872,0.0001526209,0.0001189269,0.0001080184,0.000100538,0.0003333577,0.009291565],"genre_scores_gemma":[0.8566706,0.0005805244,0.1278962,0.00008359881,0.00005719868,0.0002928371,0.0002323547,0.0001511106,0.01403563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00614051,"threshold_uncertainty_score":0.01220953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00621489481237111,"score_gpt":0.1946845171049918,"score_spread":0.1884696222926207,"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."}}