{"id":"W4387387669","doi":"10.1061/jsendh.steng-12386","title":"Finite Element Model for Concrete Slab-Column Connections with Shear Reinforcement","year":2023,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Slab; Structural engineering; Finite element method; Shear (geology); Deflection (physics); Reinforced concrete; Reinforcement; Curvature; Computer science; Geology; Geotechnical engineering; Engineering; Materials science; Mathematics; Geometry; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001460576,0.0003028325,0.0003947816,0.0003532619,0.00009181476,0.00007272384,0.0002439295,0.00009105144,0.00003571688],"category_scores_gemma":[0.00006117187,0.0002568492,0.0001841672,0.0003727006,0.0000252862,0.0004057554,0.00003049424,0.0003351129,0.000004672556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002149056,"about_ca_system_score_gemma":0.00004821391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003641477,"about_ca_topic_score_gemma":4.885534e-7,"domain_scores_codex":[0.9983567,0.00000404642,0.0006276243,0.0001342886,0.0003761908,0.0005011711],"domain_scores_gemma":[0.999141,0.0001259502,0.000144716,0.0001916362,0.0002057111,0.0001909708],"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":[0.00003807516,3.734377e-8,0.0000307706,0.00008605131,0.0001364999,0.00001178643,0.0002054834,0.9781885,0.01997535,0.0004619106,0.0002368133,0.0006287027],"study_design_scores_gemma":[0.001177993,0.0002210576,0.0003637004,0.00009757244,0.00009558248,0.0001271562,0.00008722466,0.9826204,0.01416481,0.00004318199,0.0006714896,0.0003298478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7817186,0.0001297593,0.2159886,0.00007573068,0.001080729,0.0004578618,0.00004053537,0.0004412364,0.0000669266],"genre_scores_gemma":[0.977727,0.00004455803,0.02168825,0.00001670096,0.0002338342,0.00002970059,0.00001868302,0.00007880908,0.0001624685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1960084,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514322542567574,"score_gpt":0.2307646142977881,"score_spread":0.2156213888721124,"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."}}