{"id":"W2040136197","doi":"10.1115/icnmm2011-58045","title":"Developing Cross Drag Expressions for Nanotube Bundles Using Molecular Dynamics","year":2011,"lang":"en","type":"article","venue":"","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanotube; Drag; Molecular dynamics; Materials science; Reynolds number; Drag coefficient; Mechanics; Argon; Flow (mathematics); Physics; Turbulence; Nanotechnology; Carbon nanotube; Atomic physics; Quantum mechanics","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":[0.0005090403,0.000628394,0.0004960324,0.001167868,0.0005420204,0.0008667743,0.0007514926,0.001064523,0.001449393],"category_scores_gemma":[0.001521627,0.0004127743,0.0007575773,0.000565179,0.0005162919,0.001092536,0.0009446469,0.000842884,0.0004344108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008575,"about_ca_system_score_gemma":0.0008594831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004377525,"about_ca_topic_score_gemma":0.00306795,"domain_scores_codex":[0.9997719,0.00004579332,0.00001678999,0.00003050481,0.00009821066,0.00003685412],"domain_scores_gemma":[0.999558,0.0001410815,0.00007260525,0.00004330284,0.0001480996,0.00003685211],"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":[0.00001628991,0.00005135635,0.001225923,0.00008568994,0.00003567924,0.0002125513,0.0001338544,0.8973184,0.01425789,0.07531504,0.0006854394,0.01066194],"study_design_scores_gemma":[0.000001273459,0.000004170663,0.00008300853,0.000006057922,0.000002088128,0.00001084915,0.000005586501,0.9970844,0.0006561352,0.001477959,0.000664513,0.000003903408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09967901,0.001800113,0.8813584,0.0003121138,0.000183932,0.0001492405,0.0001572074,0.0004055683,0.01595452],"genre_scores_gemma":[0.7839484,0.002351004,0.1997852,0.000284426,0.0001108549,0.0005855977,0.0002883719,0.0004824823,0.01216372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004377525,"threshold_uncertainty_score":0.008704066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05431399113008671,"score_gpt":0.2724587875577622,"score_spread":0.2181447964276755,"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."}}