{"id":"W2287718677","doi":"","title":"Improved Simplified Methods for Effective Seismic Analysis and Design of Isolated and Damped Bridges in Western and Eastern North America","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; University of Toronto; Strong","keywords":"Seismic analysis; Engineering; Seismic hazard; Range (aeronautics); Bridge (graph theory); Parametric statistics; Structural engineering; Nonlinear system; Code (set theory); Design methods; Civil engineering; Building code; Computer science; Mechanical engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001590637,0.0001966307,0.0007245559,0.0002225103,0.00003620448,0.0000101175,0.00009256789,0.0001435371,0.0000193889],"category_scores_gemma":[0.00001092472,0.0002362599,0.00007936035,0.0001793597,0.00004964479,0.0002270453,0.00002678588,0.00008488954,1.417908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008156282,"about_ca_system_score_gemma":0.00002097789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03790222,"about_ca_topic_score_gemma":0.03662928,"domain_scores_codex":[0.9993531,0.00006456835,0.0001268978,0.0002438932,0.00006504405,0.000146467],"domain_scores_gemma":[0.9994166,0.0001234985,0.0001590695,0.000139108,0.00009051724,0.00007113451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001170517,0.00003843129,0.01477916,0.001063557,0.00350367,0.000002724352,0.04960971,0.01650562,0.006177125,3.480301e-7,0.00001496446,0.9071342],"study_design_scores_gemma":[0.0007510141,0.0001895756,0.175529,0.00004968722,0.001513346,3.597727e-7,0.0112362,0.8103868,0.0001078382,0.000003299307,0.00002479361,0.0002080792],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8167365,0.001276336,0.1815585,0.000007738999,0.00002074785,0.0002892769,0.00002744077,0.00002069185,0.00006272918],"genre_scores_gemma":[0.9932517,0.00125715,0.004880734,0.000003897306,0.000006450507,0.000002061415,0.0001754874,0.00001666525,0.0004058546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9069261,"threshold_uncertainty_score":0.9809497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146287119453137,"score_gpt":0.2718237326421644,"score_spread":0.260360861447633,"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."}}