{"id":"W6996730908","doi":"","title":"Strategies to Reduce Seismic Losses and Improve Seismic Loss Assessments","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; National Institute of Standards and Technology; Dipartimenti di Eccellenza; Federal Emergency Management Agency; Ministry of Colleges and Universities; National Science Foundation","keywords":"Demolition; Residual; Seismic analysis; Displacement (psychology); Vibration control; Ductility (Earth science); Seismic risk; Seismic loading","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003448458,0.001861518,0.0006635921,0.003248943,0.0006005203,0.002524432,0.00169004,0.0008166015,0.00516955],"category_scores_gemma":[0.007723027,0.0004446999,0.0004122293,0.001164427,0.0004274548,0.002843283,0.001844644,0.0009441907,0.001509158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065236,"about_ca_system_score_gemma":0.001882957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773284,"about_ca_topic_score_gemma":0.005267909,"domain_scores_codex":[0.998269,0.0004483463,0.00008333295,0.0001279667,0.000892722,0.0001786319],"domain_scores_gemma":[0.9967105,0.0006893784,0.0007866137,0.0003440791,0.001302253,0.0001671556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002492976,0.0007771329,0.0292601,0.0005710639,0.0001276011,0.0002184964,0.0008248179,0.2473918,0.02509876,0.01879741,0.01065569,0.6660278],"study_design_scores_gemma":[0.0001393832,0.002059222,0.07872473,0.0007845091,0.0002740242,0.0005099531,0.005103396,0.7399724,0.04500786,0.04086073,0.08633179,0.0002320489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2621908,0.001427839,0.6637975,0.002848859,0.0001424742,0.001219656,0.0007966009,0.003172887,0.06440332],"genre_scores_gemma":[0.8071729,0.001278143,0.1786505,0.0002539309,0.00005602122,0.0005045186,0.0008098178,0.0002940755,0.01098018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00516955,"threshold_uncertainty_score":0.01823741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040249827319249,"score_gpt":0.2330582645906508,"score_spread":0.2226557663174583,"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."}}