{"id":"W3129500459","doi":"10.1002/nme.6660","title":"Structural analysis of composite tubes using a meshless analytical dimensional reduction method","year":2021,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Reduction (mathematics); Structural engineering; Image warping; Stiffness; Composite number; Materials science; Mathematics; Computer science; Algorithm; Engineering; Geometry","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":[0.0004747624,0.0001872131,0.0005620755,0.0009230099,0.00004204404,0.00007533774,0.0002098759,0.00009072368,0.00008246671],"category_scores_gemma":[0.0001928437,0.0001860734,0.0004624658,0.001296863,0.00001503631,0.0001840651,0.00005126108,0.0002923147,1.204077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846881,"about_ca_system_score_gemma":0.00002824465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001306027,"about_ca_topic_score_gemma":0.000001400889,"domain_scores_codex":[0.9983864,0.0001150143,0.0007257823,0.0002108815,0.0003484662,0.0002134131],"domain_scores_gemma":[0.9989013,0.0003566551,0.00008102114,0.0001281682,0.0004379513,0.00009491101],"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":[0.00002506051,0.00001381893,0.0007019234,0.00001500345,0.001974254,0.00001362862,0.00008377425,0.8867806,0.1021885,0.0004446394,0.000004652356,0.007754149],"study_design_scores_gemma":[0.0002823963,0.00001072407,0.002633012,0.00004149924,0.0006603361,0.0002140637,0.00002955614,0.9734383,0.02216619,0.0002537282,0.00009121604,0.0001789645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1445473,0.0003102979,0.853506,0.00004036894,0.001484778,0.00004336158,0.00001775458,0.0000287488,0.00002149645],"genre_scores_gemma":[0.326185,0.00001874419,0.6735533,0.000009317492,0.0001688761,0.000002309184,0.00003590749,0.00002170367,0.00000490445],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1816377,"threshold_uncertainty_score":0.7587854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316955230843246,"score_gpt":0.388691016385218,"score_spread":0.3655214640767855,"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."}}