{"id":"W4286206531","doi":"10.1061/(asce)be.1943-5592.0001898","title":"Numerical Investigation of Shape-Memory Alloy–Reinforced Bridge Columns Subjected to Lateral Impact Loads","year":2022,"lang":"en","type":"article","venue":"Journal of Bridge Engineering","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Rebar; SMA*; Materials science; Structural engineering; Pier; Plastic hinge; Shape-memory alloy; Composite material; Impact resistance; Reinforced concrete; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003624144,0.0002630789,0.0005114923,0.0005468912,0.00005072427,0.0000380741,0.0003825967,0.00006456375,0.0002052571],"category_scores_gemma":[0.0002054737,0.0002799537,0.0002599331,0.0007370642,0.00001777415,0.0002862444,0.00008713629,0.0006040765,0.000006127616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006721179,"about_ca_system_score_gemma":0.0001202327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007365541,"about_ca_topic_score_gemma":0.000001399878,"domain_scores_codex":[0.9980461,0.00004748284,0.0007951115,0.0001328559,0.0005830778,0.0003953939],"domain_scores_gemma":[0.9990131,0.000152617,0.0001861771,0.0002122614,0.0001194397,0.0003164124],"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":[0.0001026348,0.000003247331,0.001225838,0.00004598676,0.0001125789,0.00006404061,0.0006207936,0.8058516,0.1910337,0.000004165033,0.0004250793,0.0005103276],"study_design_scores_gemma":[0.0005778478,0.0002892628,0.3347046,0.00004632919,0.00002667959,0.0004627043,0.00001649616,0.6515248,0.01201669,0.000002398648,0.00008894241,0.0002432266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923555,0.00009314247,0.006302469,0.0000457331,0.0008363498,0.0001672083,0.0000340428,0.0001359936,0.00002960427],"genre_scores_gemma":[0.9989063,0.00000649361,0.0007137355,0.00003676634,0.0001956686,0.000008480319,0.00001110062,0.00007828364,0.00004319387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3334788,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009169058115606109,"score_gpt":0.2247135702318906,"score_spread":0.2155445121162845,"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."}}