{"id":"W4413227027","doi":"10.1002/suco.70275","title":"Numerical modeling of rolling loading of bridge deck with different reinforcement types","year":2025,"lang":"en","type":"article","venue":"Structural Concrete","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Performance Plants (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rebar; Structural engineering; Deck; Finite element method; Stiffness; Nonlinear system; Fibre-reinforced plastic; Bridge (graph theory); Slab; Reinforcement; Engineering","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":[0.00004533535,0.0003055739,0.0005502329,0.0001637141,0.00005287055,0.00002108435,0.0002797355,0.00009872575,0.00006119358],"category_scores_gemma":[0.00002313299,0.0002390472,0.0001282001,0.0002755591,0.00008006717,0.0001472577,0.00005508597,0.000227025,9.952203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009468368,"about_ca_system_score_gemma":0.00003551099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001086237,"about_ca_topic_score_gemma":9.945076e-7,"domain_scores_codex":[0.9985644,0.00001535657,0.0005704683,0.000211569,0.0002941604,0.0003440995],"domain_scores_gemma":[0.9992923,0.00006239847,0.0001099984,0.0003276424,0.0001297673,0.00007785151],"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":[0.0003852319,3.80289e-8,0.009181688,0.0007967606,0.0006001506,0.000009959951,0.000600447,0.6229883,0.3574069,0.005206789,0.00002193522,0.002801734],"study_design_scores_gemma":[0.000690553,0.00009109465,0.001961546,0.0002483226,0.0001149583,0.000008420432,0.0000467304,0.6725747,0.3238615,0.0001254681,0.00001069141,0.0002660011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834827,0.0003564268,0.01429338,0.00001026084,0.0002720207,0.0002449406,0.00001089093,0.0001390285,0.00119039],"genre_scores_gemma":[0.9983641,0.00002129028,0.001488272,0.00001446101,0.00002966838,0.000008096656,0.00001691758,0.00002927,0.00002792206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04958632,"threshold_uncertainty_score":0.9748062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240725335725783,"score_gpt":0.2392975044446914,"score_spread":0.2268902510874336,"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."}}