{"id":"W2153019665","doi":"10.1021/jp1055914","title":"Simulation of Pressure-Driven Flows in Nanochannels Using Multiparticle Collision Dynamics","year":2010,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mechanics; Inlet; Boundary value problem; Adiabatic process; Collision; Flow (mathematics); Open-channel flow; Knudsen number; Physics; Isothermal flow; Classical mechanics; Thermodynamics; Computer science; Engineering; Mechanical engineering","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":[0.0003746022,0.0003126912,0.0006348614,0.0003061605,0.0008507505,0.0005731794,0.0007979398,0.0007492608,0.0009043537],"category_scores_gemma":[0.0008624763,0.0002894325,0.0003710636,0.0003871951,0.0006322104,0.0006224274,0.0006050954,0.0005662358,0.00008014332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009506018,"about_ca_system_score_gemma":0.001697002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007615272,"about_ca_topic_score_gemma":0.004145462,"domain_scores_codex":[0.9998739,0.00002225885,0.00000655224,0.00002090726,0.00005076589,0.00002560205],"domain_scores_gemma":[0.9995075,0.0003209769,0.00003468902,0.00003616946,0.00004445306,0.00005622063],"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":[0.0000478284,0.00005648142,0.0008792639,0.00002295847,0.00001102163,0.00007429223,0.00006651597,0.9833969,0.006682298,0.005311996,0.0001437126,0.003306745],"study_design_scores_gemma":[0.000008987441,0.00001008992,0.00007554948,8.893987e-7,7.964546e-7,0.000007770656,0.000004598459,0.9981973,0.001234969,0.0003262703,0.0001297689,0.000003092151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7214502,0.0002051155,0.2725121,0.0002150123,0.00005740995,0.0001556051,0.0002177566,0.0007247094,0.004462023],"genre_scores_gemma":[0.88573,0.0001455535,0.1123847,0.00003578802,0.000011913,0.0002390356,0.0001547347,0.00007266857,0.001225583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007615272,"threshold_uncertainty_score":0.0151419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880423277293153,"score_gpt":0.3039765770291,"score_spread":0.2851723442561684,"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."}}