{"id":"W2086540863","doi":"10.1061/(asce)0733-9445(2009)135:2(147)","title":"Nonlinear Modeling of Flat-Plate Systems","year":2009,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Slab; Punching; Structural engineering; OpenSees; Moment (physics); Nonlinear system; Earthquake shaking table; Flexural strength; Shear (geology); Scale model; Engineering; Geology; Geotechnical engineering; Reinforced concrete; Physics; Mechanical 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":[0.000195502,0.000592719,0.0003583377,0.0003026769,0.000368858,0.0006718602,0.0009464037,0.0007103217,0.003532294],"category_scores_gemma":[0.0007071799,0.0003382249,0.000326583,0.0002876955,0.0005380018,0.0006514948,0.0005427612,0.0005125148,0.0009496404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005789853,"about_ca_system_score_gemma":0.0006117859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194144,"about_ca_topic_score_gemma":0.00797156,"domain_scores_codex":[0.9998456,0.00002966222,0.000007414841,0.0000320128,0.00006657917,0.00001861169],"domain_scores_gemma":[0.9997472,0.00008653838,0.00003861115,0.00003185009,0.00008130537,0.00001454084],"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":[0.00001164713,0.00001082905,0.0002607375,0.00003293434,0.000005857901,0.00005880001,0.00004887722,0.986931,0.003822158,0.005574463,0.0001669164,0.003075725],"study_design_scores_gemma":[9.177029e-7,0.000005839594,0.0001001396,0.000001167333,6.472956e-7,0.000007564828,0.000004487812,0.9990152,0.0001871128,0.0004548467,0.0002201904,0.000001839916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1647574,0.0004224885,0.7868898,0.0002645034,0.00007471317,0.0001977588,0.000745026,0.001142914,0.0455054],"genre_scores_gemma":[0.9502445,0.0004282815,0.02791557,0.00004093944,0.00002702672,0.0001862437,0.0002902409,0.00007699702,0.02079021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01194144,"threshold_uncertainty_score":0.02374387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006441819673587081,"score_gpt":0.1972393179256638,"score_spread":0.1907974982520767,"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."}}