{"id":"W2908632235","doi":"10.1002/pc.25206","title":"Stress distributions in nanocomposite sandwich cylinders reinforced by aggregated carbon nanotube","year":2019,"lang":"en","type":"article","venue":"Polymer Composites","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Materials science; Nanocomposite; Carbon nanotube; Composite material; Volume fraction; Deflection (physics); Finite element method; Rotational symmetry; Micromechanics; Cylinder; Representative elementary volume; Composite number; Structural engineering; Microstructure; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004695314,0.0002936133,0.0003644427,0.0002274402,0.00006885571,0.00009313248,0.000236518,0.0001323626,0.0001246457],"category_scores_gemma":[0.000003007929,0.0002980918,0.0001131058,0.000681994,0.00003123815,0.0001559179,0.00004986784,0.0002185611,0.00002381745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001275928,"about_ca_system_score_gemma":0.00001351439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004175709,"about_ca_topic_score_gemma":0.00007154327,"domain_scores_codex":[0.9986426,0.00003941442,0.0004124808,0.0002923113,0.0002173994,0.0003958213],"domain_scores_gemma":[0.9993735,0.00006163846,0.00006477729,0.0003552956,0.00004411849,0.000100667],"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":[0.00002676558,0.00002388875,0.0280009,0.00004264501,0.0001335759,0.000003924186,0.000231389,0.1324039,0.8381785,0.0002451525,0.000205635,0.0005037782],"study_design_scores_gemma":[0.0006407032,0.00002720188,0.002180212,0.00007250599,0.0000481371,0.000004262946,0.00002677536,0.366152,0.6303223,0.000008625651,0.0001685071,0.0003487949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898703,0.003311654,0.001520901,0.00008811739,0.0002547156,0.0002736325,0.00008931565,0.0002594412,0.004331894],"genre_scores_gemma":[0.9983739,0.00007250318,0.0001563627,0.00003688388,0.00003470977,0.00001407453,0.0009168045,0.00004040204,0.0003544088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337481,"threshold_uncertainty_score":0.9999471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002387320693595764,"score_gpt":0.1795805254245985,"score_spread":0.1771932047310028,"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."}}