{"id":"W2116579376","doi":"10.1007/s11069-008-9263-1","title":"Characterization of site effects in Montreal, Canada","year":2008,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Zoning; Hydrogeology; Seismic hazard; Microtremor; Seismic risk; Geology; Seismology; Amplification factor; Soil water; Natural hazard; Seismic microzonation; Population; Range (aeronautics); Geotechnical engineering; Environmental science; Soil science; Civil engineering; Engineering","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":[0.0003747126,0.0003518585,0.0003909076,0.002237273,0.002478565,0.00122901,0.001302018,0.0003262053,0.003214655],"category_scores_gemma":[0.00162866,0.000275511,0.0003266792,0.004060641,0.0006128533,0.0002814136,0.0006683035,0.0003329786,0.0003121491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02466337,"about_ca_system_score_gemma":0.02485851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978572,"about_ca_topic_score_gemma":0.9995357,"domain_scores_codex":[0.9995028,0.00004851418,0.00001680771,0.00008786367,0.0001520356,0.0001919864],"domain_scores_gemma":[0.9986904,0.000102292,0.000123243,0.00004814313,0.0008120893,0.0002238335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002979141,0.0001141994,0.9384205,0.00009434625,0.0001822217,0.0004462543,0.001623324,0.008169747,0.003733913,0.001161136,0.006651938,0.03910442],"study_design_scores_gemma":[0.00001445397,0.00002664287,0.991738,0.00001728949,0.0000373348,0.00003821456,0.001399388,0.002865689,0.0003811001,0.00003981484,0.003423981,0.00001800427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844294,0.0004007626,0.0007122519,0.0001979249,0.00001303614,0.0001018112,0.00766274,0.00007095164,0.006411074],"genre_scores_gemma":[0.9916862,0.0001576924,0.0008968561,0.00003538802,0.000003418979,0.00002253559,0.002328422,0.00001978969,0.004849762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02466337,"threshold_uncertainty_score":0.1789461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003712895543101835,"score_gpt":0.1715623827640562,"score_spread":0.1678494872209544,"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."}}