{"id":"W4309089466","doi":"10.1139/cjce-2021-0499","title":"An update on the seismic categorization for seismic risk assessment of existing Canadian buildings","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Carleton University","funders":"National Research Council Canada","keywords":"Mercalli intensity scale; Spectral acceleration; Peak ground acceleration; Acceleration; Environmental Seismic Intensity scale; Seismology; Seismic risk; Seismic hazard; Earthquake scenario; Categorization; Incremental Dynamic Analysis; Geology; Ground motion; Computer science; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007297578,0.00016942,0.0002210841,0.0006335294,0.0003195308,0.00004500408,0.0004312879,0.00005380707,0.00005216754],"category_scores_gemma":[0.0001079018,0.0001663601,0.00007567462,0.0003160352,0.00001588619,0.0001472177,0.000008436848,0.0005924213,2.101554e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581873,"about_ca_system_score_gemma":0.0007954665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04415714,"about_ca_topic_score_gemma":0.1136557,"domain_scores_codex":[0.9987751,0.00003956714,0.0004319251,0.0001083344,0.0001938044,0.0004512261],"domain_scores_gemma":[0.9988579,0.0001166343,0.0001705709,0.0002172521,0.0001273161,0.0005103596],"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":[0.00000178655,0.000001265823,0.0007036473,0.00005277994,0.00002857576,0.00001087572,0.000287375,0.9940426,0.0002413627,0.001453944,0.001003507,0.002172252],"study_design_scores_gemma":[0.0001915478,0.0002232318,0.006472037,0.00009878416,0.00003521016,0.00007262157,0.0002087006,0.9598339,0.0009336793,0.000830414,0.03084731,0.0002526012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.894462,0.0003182049,0.1005812,0.0005096075,0.002775369,0.0004869867,0.0002726633,0.0001180008,0.00047597],"genre_scores_gemma":[0.9970714,0.00002104571,0.002452224,0.00008518399,0.0002565256,0.00003078522,0.00001053006,0.00006758016,0.00000475731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1026093,"threshold_uncertainty_score":0.9622079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185091593682473,"score_gpt":0.2651347572789817,"score_spread":0.2466255979107344,"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."}}