{"id":"W4404369760","doi":"10.1115/pvp2024-122525","title":"Neural Network for Constitutive Modeling of Beam Structures","year":2024,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Constitutive equation; Artificial neural network; Computer science; Beam (structure); Finite element method; Structural engineering; Artificial intelligence; Engineering","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":[0.0006242201,0.0005328224,0.0004889202,0.0006158195,0.0003091873,0.0006184074,0.0007210634,0.001114101,0.001634944],"category_scores_gemma":[0.001066077,0.000379938,0.0005472711,0.0005695265,0.000452621,0.0007534224,0.0003948691,0.0007427162,0.0002309964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008712942,"about_ca_system_score_gemma":0.0006530909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007844,"about_ca_topic_score_gemma":0.008053435,"domain_scores_codex":[0.9998187,0.00006184755,0.00001111646,0.0000332815,0.00005389524,0.00002116762],"domain_scores_gemma":[0.9996332,0.0002051937,0.00004300733,0.00001748363,0.00009044066,0.00001067235],"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":[0.000009284363,0.000009939488,0.0001638767,0.000008955514,0.000005303963,0.00001155092,0.000006394061,0.9942889,0.0005232358,0.000815881,0.00005615311,0.004100375],"study_design_scores_gemma":[2.346922e-7,0.000001396434,0.00001601257,5.856378e-7,3.50616e-7,6.709596e-7,3.567353e-7,0.9998349,0.00003768631,0.00008700734,0.00002046842,3.891714e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06511049,0.0006242043,0.9286239,0.0002516526,0.00005591253,0.00006471868,0.0001565813,0.0003542456,0.004758277],"genre_scores_gemma":[0.9279038,0.0005255298,0.0662218,0.00006878596,0.00003290179,0.0001949857,0.0001721944,0.00003727632,0.004842728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01007844,"threshold_uncertainty_score":0.02003956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044418094842678,"score_gpt":0.3093541216666594,"score_spread":0.2789099407182326,"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."}}