{"id":"W4411458711","doi":"10.1177/87552930251343634","title":"Second-generation component and system-level seismic fragility models for reinforced concrete bridges in California","year":2025,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Earthquake Engineering Research Center, University of California Berkeley; National Science Foundation","keywords":"Fragility; Bridge (graph theory); Component (thermodynamics); Vulnerability assessment; Vulnerability (computing); Seismic risk; Resilience (materials science); Preparedness; Ground motion; Earthquake scenario; Computer science; Engineering; Structural engineering; Civil engineering; Seismic hazard; Psychological resilience; Computer security","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":[0.0002040465,0.00014702,0.0002634875,0.0001557718,0.00007116669,0.00004408736,0.00006905627,0.00007776987,0.00001776616],"category_scores_gemma":[0.000006052919,0.00015284,0.00006377268,0.0001554574,0.00002291679,0.0001500557,0.00001279206,0.000118461,0.000009713937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009519253,"about_ca_system_score_gemma":0.00002518372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001041732,"about_ca_topic_score_gemma":0.0001706526,"domain_scores_codex":[0.9991669,0.00001517974,0.0003106057,0.0001958141,0.00008120799,0.0002302918],"domain_scores_gemma":[0.9996966,0.00003114088,0.00002576223,0.0001773284,0.0000257848,0.00004334185],"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":[0.00003290901,0.000002660662,0.0004894767,0.0006724014,0.0001295229,0.000004929117,0.0003668512,0.9660971,0.02147314,0.003814475,0.001520452,0.005396137],"study_design_scores_gemma":[0.0005809694,0.00001270504,0.003691631,0.00006246337,0.00002183267,0.000002857578,0.0001028905,0.9816127,0.012342,0.00006384119,0.001356196,0.0001498998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977139,0.0003678399,0.100013,0.0000924011,0.0001341885,0.0002429175,0.0001366717,0.0001187631,0.001180317],"genre_scores_gemma":[0.9986252,0.00006011374,0.0005207344,0.0001494387,0.00008078539,0.00004108495,0.00009918524,0.00001249312,0.0004109583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009113,"threshold_uncertainty_score":0.6232635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701190201328711,"score_gpt":0.2153319884414779,"score_spread":0.1983200864281908,"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."}}