{"id":"W4322102711","doi":"10.1016/j.tust.2023.105059","title":"Seismic fragility curves for shallow buried subway station using pushover-based method","year":2023,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; China Scholarship Council; China Postdoctoral Science Foundation; Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Fragility; Incremental Dynamic Analysis; Structural engineering; Probabilistic logic; Vulnerability assessment; Peak ground acceleration; Vulnerability (computing); Seismic analysis; Engineering; Computer science; Geotechnical engineering; Mathematics; Ground motion; Statistics","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":[0.0001481084,0.0005649711,0.0003094047,0.001195063,0.0001795346,0.0002881586,0.0004797774,0.0005291087,0.002653704],"category_scores_gemma":[0.0005764878,0.0001581012,0.0004078738,0.000925525,0.0001359852,0.0004040044,0.0002145107,0.0003002383,0.0003772766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247289,"about_ca_system_score_gemma":0.0002950398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007181293,"about_ca_topic_score_gemma":0.008651021,"domain_scores_codex":[0.9998999,0.00001548169,0.000004776112,0.00001866444,0.00004302628,0.00001818564],"domain_scores_gemma":[0.9997618,0.00006648812,0.00002835279,0.00001875965,0.0001073403,0.00001725907],"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":[0.0003566968,0.0001173018,0.02175442,0.0002589749,0.00007396074,0.0004567086,0.0002270793,0.795459,0.02152514,0.001393229,0.002126457,0.156251],"study_design_scores_gemma":[0.000005021111,0.00003434876,0.008153656,0.000009440693,0.00001394127,0.00005327446,0.00005746571,0.9895127,0.00161827,0.0001672192,0.0003624937,0.00001213567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7510133,0.00034499,0.236641,0.0001133001,0.00005643447,0.00004085185,0.001141307,0.001118111,0.009530763],"genre_scores_gemma":[0.9841151,0.0001096877,0.01397643,0.000009099887,0.00001118035,0.00002117224,0.0004479275,0.00003270932,0.001276753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007181293,"threshold_uncertainty_score":0.01427895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083763188679064,"score_gpt":0.2702324955395706,"score_spread":0.24939486365278,"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."}}