{"id":"W4415184597","doi":"10.1007/978-3-031-96767-2_23","title":"Regional Seismic Damage Assessment of the Bridge Network in Los Angeles","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Fragility; Bridge (graph theory); Ground motion; Earthquake scenario; Seismic microzonation; Seismic risk; Seismic retrofit; Urban seismic risk; Vulnerability assessment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002235489,0.0002533466,0.0002353989,0.0009415371,0.0001909948,0.0003844485,0.000362709,0.000183992,0.001874617],"category_scores_gemma":[0.0004078141,0.0001513877,0.0001657123,0.0008590835,0.0001112174,0.0003142216,0.0002871181,0.0001433339,0.0003426077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704215,"about_ca_system_score_gemma":0.0006851266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2411816,"about_ca_topic_score_gemma":0.5315366,"domain_scores_codex":[0.9998674,0.00003196466,0.000006499646,0.00002215422,0.00005228685,0.00001956401],"domain_scores_gemma":[0.9998357,0.00001703884,0.00002557252,0.000008934471,0.00009642165,0.00001621076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005001115,0.0002259244,0.2630786,0.0002599425,0.0003322742,0.0009893602,0.001008824,0.4322577,0.008948858,0.004575401,0.04362453,0.2441985],"study_design_scores_gemma":[0.00004842636,0.0002735882,0.7194256,0.00008881363,0.0001500066,0.0002360685,0.001956515,0.2502394,0.002575545,0.0007990064,0.02416024,0.00004681828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955079,0.0008885884,0.004982538,0.0003628618,0.00002981088,0.00005770151,0.005955962,0.000347993,0.03229548],"genre_scores_gemma":[0.9746193,0.0004745203,0.003134391,0.00001929408,0.0000128033,0.00003094488,0.002987336,0.00003110833,0.01869032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2411816,"threshold_uncertainty_score":0.4795555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008756765564953348,"score_gpt":0.2166203878578733,"score_spread":0.20786362229292,"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."}}