{"id":"W4312385590","doi":"10.4095/330927","title":"Scientific basis of Canada's first public national seismic risk model","year":2022,"lang":"en","type":"report","venue":"","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Seismic risk; Fragility; Disaster risk reduction; Preparedness; Seismic hazard; Vulnerability (computing); Probabilistic logic; Urban seismic risk; Government (linguistics); Geography; Environmental science; Civil engineering; Engineering; Environmental resource management; Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001844036,0.0006394245,0.0004871394,0.001432557,0.001909274,0.003234121,0.002875183,0.0008589653,0.006792209],"category_scores_gemma":[0.006667627,0.0004913229,0.0006739136,0.002310605,0.001175039,0.001470605,0.001452161,0.001444202,0.0009075181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03219538,"about_ca_system_score_gemma":0.04663697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9604118,"about_ca_topic_score_gemma":0.92778,"domain_scores_codex":[0.9984221,0.0002174186,0.00005359633,0.0001784222,0.0008571438,0.0002712584],"domain_scores_gemma":[0.9969285,0.0004869187,0.0001265219,0.0002662591,0.002058081,0.0001336302],"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":[0.00005192455,0.00006533402,0.006272266,0.00005913976,0.00003718607,0.0001314132,0.0002895622,0.6232873,0.0002841986,0.308441,0.03702344,0.02405733],"study_design_scores_gemma":[0.00004093675,0.00001703359,0.004070845,0.00006155045,0.00002816309,0.00006245715,0.0002552807,0.859877,0.0003678686,0.06264112,0.07252469,0.00005306578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09182172,0.0008322475,0.3560867,0.01712256,0.0002663727,0.0007547157,0.06195603,0.002285121,0.4688745],"genre_scores_gemma":[0.7793617,0.001537912,0.1260441,0.0008414311,0.0001206163,0.0008092065,0.03013226,0.0005625294,0.06059036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03958815,"threshold_uncertainty_score":0.2335949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04890813219082431,"score_gpt":0.2264732469628683,"score_spread":0.177565114772044,"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."}}