{"id":"W2188739590","doi":"","title":"Determination of Non-local Elasticity Constants for the Torsional Buckling of Single-Wall Carbon Nanotubes Using Molecular Dynamics","year":2009,"lang":"en","type":"article","venue":"TechConnect Briefs","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zigzag; Buckling; Carbon nanotube; Elasticity (physics); Molecular dynamics; Materials science; Continuum mechanics; Work (physics); Classical mechanics; Mechanics; Structural engineering; Nanotechnology; Physics; Composite material; Mathematics; Thermodynamics; Geometry; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002815413,0.0001800294,0.0003114278,0.00007942679,0.000132437,0.00002234306,0.0002961231,0.000115877,0.00001509408],"category_scores_gemma":[0.0002859635,0.000136708,0.000110225,0.0001587822,0.0003909832,0.00006882889,0.00005212417,0.00008026581,3.676585e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103234,"about_ca_system_score_gemma":0.00009512473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980305,"about_ca_topic_score_gemma":0.0000476992,"domain_scores_codex":[0.9986949,0.0000393355,0.000439006,0.0002533016,0.0002809778,0.0002924727],"domain_scores_gemma":[0.9987589,0.0005047741,0.0002593658,0.0002108271,0.0002211506,0.00004498455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009292438,0.00006913667,0.0001082551,0.00005130946,0.000008261918,0.000002557783,0.0001247982,0.002630775,0.9894817,0.002909996,0.000001412135,0.004518894],"study_design_scores_gemma":[0.0003543354,0.0002927964,0.0004834082,0.0001289947,0.00006804772,0.00001915775,0.00006218689,0.1798735,0.8143136,0.004251318,0.0000104377,0.000142217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7115647,0.00006854669,0.2877462,0.00006050351,0.0001887009,0.0002428407,0.00005886246,0.0000211077,0.00004847713],"genre_scores_gemma":[0.9886032,0.000001606751,0.01122298,0.0001055385,0.00003895519,0.000003562614,0.000006699522,0.00001176642,0.00000569802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2770385,"threshold_uncertainty_score":0.5574789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239587082860496,"score_gpt":0.2500796921839107,"score_spread":0.2376838213553058,"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."}}