{"id":"W4377138120","doi":"10.1177/87552930231173446","title":"A national seismic risk model for Canada: Methodology and scientific basis","year":2023,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Seismic risk; Seismic hazard; Earthquake scenario; Fragility; Urban seismic risk; Hazard; Vulnerability (computing); Risk assessment; Natural hazard; Civil engineering; Risk analysis (engineering); Engineering; Geography; Environmental resource management; Environmental science; Computer science; Business; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001334061,0.00106551,0.0005561639,0.001569952,0.001612376,0.002155358,0.003319224,0.0009574183,0.004709456],"category_scores_gemma":[0.003391785,0.00063064,0.0008696628,0.002493657,0.0009959798,0.0009997379,0.001351133,0.001546314,0.0007525047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02830954,"about_ca_system_score_gemma":0.05242454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9560621,"about_ca_topic_score_gemma":0.9346923,"domain_scores_codex":[0.9992775,0.0001440389,0.00003025716,0.00009547263,0.0003435578,0.0001091587],"domain_scores_gemma":[0.9986649,0.0002774465,0.00008620373,0.00006818632,0.0008348888,0.00006840804],"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":[0.00002078842,0.00002963198,0.002167767,0.00006859601,0.00002170034,0.000103851,0.0001177107,0.8503923,0.0002897904,0.1155387,0.01190444,0.01934471],"study_design_scores_gemma":[0.00001174612,0.00000791663,0.0006962623,0.00002948119,0.00001176005,0.00002541661,0.0000773093,0.9592623,0.0001414112,0.01560061,0.02410762,0.00002800646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03188381,0.001314261,0.8553535,0.005313102,0.0001815092,0.001011215,0.01710956,0.001344003,0.08648887],"genre_scores_gemma":[0.3788711,0.004115187,0.537089,0.0007503326,0.0001508085,0.001736873,0.01675616,0.0006956976,0.05983483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04393786,"threshold_uncertainty_score":0.2054011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0743890353343411,"score_gpt":0.3276482534993114,"score_spread":0.2532592181649703,"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."}}