{"id":"W2918280921","doi":"10.2749/vancouver.2017.0699","title":"Prediction of Post-Earthquake Damage of Reinforced Concrete Highway Bridges","year":2017,"lang":"en","type":"article","venue":"Report","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Fragility; Bridge (graph theory); Spectral acceleration; Structural engineering; Probabilistic logic; Acceleration; Reinforced concrete; Incremental Dynamic Analysis; Displacement (psychology); Vulnerability (computing); Measure (data warehouse); Computer science; Engineering; Seismic analysis; Peak ground acceleration; Physics; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001469526,0.00006051164,0.0001737082,0.00005060165,0.00004154359,0.000009995996,0.00009770397,0.00004315067,0.00003227934],"category_scores_gemma":[0.00005971634,0.00005727728,0.00007488549,0.00003073333,0.00004418496,0.0001791032,0.0000185313,0.00004815189,0.000005033588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009175862,"about_ca_system_score_gemma":0.00001730411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001640587,"about_ca_topic_score_gemma":0.000002360424,"domain_scores_codex":[0.9994099,0.000002436979,0.0003020644,0.00007094534,0.0001300688,0.00008455975],"domain_scores_gemma":[0.9992106,0.000006801825,0.0001801332,0.0004944138,0.00008218132,0.00002587849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002794785,0.000003512823,0.1067707,0.0004823036,0.0005199299,0.0002456405,0.0005168129,0.0283402,0.8528812,0.0001921356,0.002665461,0.007354129],"study_design_scores_gemma":[0.0002829247,0.00005262934,0.5546203,0.00009001157,0.00008628298,0.00007811812,0.00007054975,0.1585754,0.2818812,0.00000403261,0.00414208,0.0001165256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901727,0.00002798369,0.0003206237,0.0000212619,0.0001328742,0.00003749462,0.0000219213,0.0000573169,0.009207807],"genre_scores_gemma":[0.9986575,0.00006905651,0.00006387226,0.000006132607,0.00005979978,0.000001980251,0.00003892224,0.000008300595,0.001094481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.571,"threshold_uncertainty_score":0.23357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015831189097374,"score_gpt":0.2272935729553167,"score_spread":0.2114623838579427,"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."}}