{"id":"W1979946093","doi":"10.1016/j.apm.2012.04.017","title":"Modeling unsteady flow characteristics using smoothed particle hydrodynamics","year":2012,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Smoothed-particle hydrodynamics; Mechanics; Hagen–Poiseuille equation; Reynolds number; Physics; Pressure gradient; Flow (mathematics); Shear flow; Classical mechanics; Turbulence","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":[0.0003090261,0.0004661997,0.0005293539,0.0007583217,0.0003930711,0.0009784438,0.0008485371,0.0008621673,0.0006762416],"category_scores_gemma":[0.001361996,0.0004615746,0.0005586676,0.0006553159,0.0005750881,0.001238446,0.0004950456,0.000558633,0.0002261657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006271959,"about_ca_system_score_gemma":0.001029108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009115217,"about_ca_topic_score_gemma":0.004341444,"domain_scores_codex":[0.9998401,0.00003296154,0.00001001882,0.00002538026,0.00006520512,0.00002623416],"domain_scores_gemma":[0.9994743,0.0002127422,0.00009358135,0.00007062888,0.0001147648,0.00003407441],"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":[0.00002063874,0.00003398437,0.00100739,0.000009787107,0.00001183543,0.00004208706,0.00003032166,0.9864346,0.0033581,0.003347389,0.0001405432,0.005563382],"study_design_scores_gemma":[0.000001075608,0.000002734929,0.00007617822,2.621435e-7,8.279562e-7,0.000002777638,0.00000140203,0.9992597,0.0003004812,0.0002935612,0.00005951915,0.000001576677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2582681,0.0001539152,0.7374814,0.0001028183,0.00007926579,0.00005693391,0.00008772852,0.0008207328,0.002949113],"genre_scores_gemma":[0.9685408,0.0001353246,0.02891629,0.00001901282,0.00003312008,0.00003443792,0.00009492006,0.00009215819,0.002133907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009115217,"threshold_uncertainty_score":0.01812434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224302608642898,"score_gpt":0.2388138623202385,"score_spread":0.2065708362338095,"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."}}