{"id":"W4387859733","doi":"10.3390/geohazards4040023","title":"Influence of the 2020 Seismic Hazard Update on Residential Losses in Greater Montreal, Canada","year":2023,"lang":"en","type":"article","venue":"GeoHazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Seismic hazard; Building code; Alluvium; Return period; Hazard; Seismic risk; Seismology; Population; Environmental science; Geography; Geology; Civil engineering; Archaeology; Engineering; Flood myth; Demography","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":[0.000668387,0.0004260046,0.0002122874,0.001139466,0.0006849702,0.001805845,0.001089538,0.0003227961,0.006277057],"category_scores_gemma":[0.004073278,0.0001604387,0.0004117537,0.001460001,0.0002992449,0.000465269,0.0008910164,0.0004524334,0.000434398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02687401,"about_ca_system_score_gemma":0.01849436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915549,"about_ca_topic_score_gemma":0.9929396,"domain_scores_codex":[0.9991374,0.00006739797,0.00002654934,0.00006849572,0.000502838,0.0001972469],"domain_scores_gemma":[0.9970062,0.0001563317,0.0002971306,0.00009428541,0.002130259,0.0003156797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002915756,0.00009581357,0.840758,0.0001560765,0.0001855682,0.0004556545,0.0004783059,0.0351261,0.001010358,0.002339406,0.05490295,0.06420025],"study_design_scores_gemma":[0.00001127572,0.0000380321,0.9441258,0.00007022867,0.00003972922,0.00009865426,0.0009538078,0.01781397,0.000630349,0.0001796752,0.03600557,0.00003282336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785503,0.001700115,0.002198538,0.00468721,0.00008276584,0.0001650104,0.07892483,0.000511752,0.03317957],"genre_scores_gemma":[0.9736928,0.0007301302,0.0004825346,0.0002399725,0.00001469323,0.00002274554,0.01656513,0.00004252264,0.008209372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02687401,"threshold_uncertainty_score":0.1949854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004511889099418203,"score_gpt":0.1929470682050297,"score_spread":0.1884351791056114,"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."}}