{"id":"W4307634605","doi":"10.3390/app122110910","title":"Predicting the Influence of Shear on the Seismic Response of Bridge Columns","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Shear (geology); Nonlinear system; Finite element method; Brittleness; Geotechnical engineering; Seismic analysis; Materials science; Geology; Engineering; Composite material; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659313,0.000389434,0.0001205627,0.0002363144,0.00008903549,0.0001574878,0.0001695559,0.0002103362,0.0007415692],"category_scores_gemma":[0.0005899483,0.0001827848,0.0001530516,0.00008495594,0.0001893722,0.0001457949,0.0001632378,0.0001361887,0.0001909968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766282,"about_ca_system_score_gemma":0.0002075579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003868722,"about_ca_topic_score_gemma":0.008027779,"domain_scores_codex":[0.9999433,0.0000108313,0.000002279443,0.000009885229,0.00002203011,0.0000117287],"domain_scores_gemma":[0.999774,0.0001289182,0.00002781551,0.00001627988,0.00003947639,0.0000135288],"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":[0.000361789,0.00007051795,0.04645287,0.00006091888,0.00002058395,0.0001986231,0.000066851,0.5237592,0.4011968,0.000224446,0.0001798566,0.02740743],"study_design_scores_gemma":[0.000007867517,0.0002606736,0.03655948,0.000005668247,0.00001400615,0.00005032616,0.00003409746,0.8672832,0.09551529,0.00008936751,0.0001653028,0.00001472096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932299,0.00002321689,0.005999092,0.00000765971,0.000002184242,0.000004622324,0.00005204526,0.00004907759,0.0006322194],"genre_scores_gemma":[0.9983795,0.0000224143,0.001215088,0.000002898468,8.007725e-7,0.000003398724,0.00005701117,0.000005669569,0.0003132055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003868722,"threshold_uncertainty_score":0.007692397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617957062792077,"score_gpt":0.2293086218397516,"score_spread":0.2131290512118308,"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."}}