{"id":"W4402792254","doi":"10.1007/s40571-024-00828-6","title":"Multiscale analysis of elastodynamics of graphene-embedded ceramic composite plates","year":2024,"lang":"en","type":"article","venue":"Computational Particle Mechanics","topic":"Composite Material Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Materials science; Composite number; Composite material; Ceramic; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001394673,0.0001608894,0.0003553712,0.000306352,0.00002768377,0.00003727438,0.0001459189,0.00006747055,0.00005140125],"category_scores_gemma":[0.000009872721,0.0001769583,0.000189263,0.00127546,0.0000212123,0.0001030575,0.00005848051,0.00009114743,0.00001766185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005158735,"about_ca_system_score_gemma":0.00001861519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005299307,"about_ca_topic_score_gemma":0.000009893366,"domain_scores_codex":[0.9988105,0.00003203553,0.0005041348,0.0001943125,0.0002697571,0.0001892888],"domain_scores_gemma":[0.9993853,0.0002140469,0.00005544472,0.000172802,0.0001076153,0.0000647957],"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":[0.00001378486,0.00003449049,0.00005037934,0.0001358204,0.0006544515,0.000004787609,0.0002422221,0.7381923,0.2214196,0.03844224,0.00001127118,0.0007986567],"study_design_scores_gemma":[0.0001620309,0.0000454008,0.000728444,0.00005087814,0.000442837,0.000005225264,0.00002383023,0.9168255,0.0676752,0.01388495,0.000009804088,0.0001459409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7028838,0.0003199028,0.2959653,0.00001068712,0.0003825579,0.00009184175,0.0001249746,0.0001929563,0.00002801319],"genre_scores_gemma":[0.9938726,0.00001775381,0.005954128,0.000005352592,0.00001806266,0.000007041375,0.00008359971,0.00003517008,0.000006273135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2909888,"threshold_uncertainty_score":0.7216151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007065754666889695,"score_gpt":0.2290974282110639,"score_spread":0.2220316735441742,"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."}}