{"id":"W4394893417","doi":"10.1016/j.ijsolstr.2024.112827","title":"Cross-sectional analysis of initially curved composite beams with rectangular and circular sections using an asymptotic meshless method","year":2024,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Cartesian coordinate system; Beam (structure); Image warping; Isotropy; Mathematical analysis; Mathematics; Cylindrical coordinate system; Geometry; Structural engineering; Physics; Engineering; Computer science; Optics","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":[0.0001917648,0.0001343639,0.0002951382,0.0007545407,0.00006379508,0.0002977828,0.0001197485,0.00006790308,0.00004865171],"category_scores_gemma":[0.000008554084,0.0001058523,0.0001394542,0.0003758205,0.00006152158,0.0003110229,0.00002043899,0.0001734379,2.618838e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005766516,"about_ca_system_score_gemma":0.00002738777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005202633,"about_ca_topic_score_gemma":0.00002257828,"domain_scores_codex":[0.9989606,0.00004462718,0.0004142541,0.0001449794,0.0003493426,0.00008624919],"domain_scores_gemma":[0.9993085,0.00006141544,0.0001177346,0.00006314198,0.0003791662,0.00007005507],"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":[0.00004418763,0.000008914888,0.02438874,0.00002989251,0.00498684,0.00004388,0.0004009584,0.9468988,0.02053761,0.0006032473,0.000001129892,0.002055802],"study_design_scores_gemma":[0.0002852035,0.00007481068,0.2866523,0.00005005124,0.001164704,0.0008887071,0.0000506968,0.706522,0.002820709,0.00130592,0.00003470783,0.0001501153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7656897,0.0009372256,0.2329683,0.000009400136,0.0002625409,0.00002470348,0.0000363516,0.00001479645,0.00005690639],"genre_scores_gemma":[0.9788033,0.0001217535,0.02079907,0.00001399413,0.000216289,3.796448e-7,0.00002742063,0.00001522521,0.000002508775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2622636,"threshold_uncertainty_score":0.4316532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350005271231138,"score_gpt":0.3081788294130366,"score_spread":0.2946787767007252,"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."}}