{"id":"W2003678058","doi":"10.1103/physrevb.75.201405","title":"Modeling of fracture of carbon nanotubes with vacancy defect","year":2007,"lang":"en","type":"article","venue":"Physical Review B","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Materials science; Tearing; Carbon nanotube; Softening; Vacancy defect; Fracture mechanics; Molecular dynamics; Continuum mechanics; Hardening (computing); Strain hardening exponent; Composite material; Mechanics; Condensed matter physics; Computational chemistry; Physics","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":[0.000176634,0.0004110466,0.0005588138,0.0004888903,0.0005244601,0.0005531257,0.001213429,0.001650762,0.00155574],"category_scores_gemma":[0.0006206349,0.0003477872,0.0006369663,0.000407316,0.0004506119,0.0004672033,0.0003569254,0.0003977891,0.0002230552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009052257,"about_ca_system_score_gemma":0.000716942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109933,"about_ca_topic_score_gemma":0.005344777,"domain_scores_codex":[0.9998751,0.00001795154,0.000005465447,0.00002245041,0.0000492843,0.0000298113],"domain_scores_gemma":[0.9997646,0.0001008392,0.00003537157,0.00002437174,0.00004493944,0.00002986902],"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":[0.00002404949,0.00002314147,0.0006196136,0.00002743626,0.00001353829,0.0002087099,0.00003050325,0.987872,0.006321321,0.003478005,0.0001235151,0.001258102],"study_design_scores_gemma":[0.000002083721,0.000006065019,0.0001455503,0.000001326644,0.000001312109,0.00002359927,0.000004746539,0.9988182,0.00048701,0.0003691661,0.0001378799,0.000002953101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8574588,0.0006155964,0.1228114,0.0004077553,0.00006867995,0.00007787105,0.0007714476,0.0003368468,0.01745147],"genre_scores_gemma":[0.9795246,0.0002680741,0.01457745,0.00003284508,0.00001322816,0.00009724152,0.0002716216,0.00007150092,0.005143483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109933,"threshold_uncertainty_score":0.02185863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233582658801488,"score_gpt":0.2922593089563107,"score_spread":0.2799234823682958,"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."}}