{"id":"W1986578402","doi":"10.1139/l02-070","title":"Development of seismic hazard maps for the proposed 2005 edition of the National Building Code of Canada","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; DuPont (Canada)","funders":"","keywords":"Seismic hazard; Seismology; Earthquake scenario; Subduction; Hazard; Building code; Hazard map; Urban seismic risk; Geology; Peak ground acceleration; Hazard analysis; Computation tree logic; Ground motion; Computer science; Engineering; Civil engineering; Algorithm; Tectonics; Reliability engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001168196,0.0008434862,0.0002918321,0.006238219,0.001805248,0.00255223,0.001555564,0.0004203359,0.01285303],"category_scores_gemma":[0.006613278,0.0004571664,0.0006450935,0.00617668,0.0005034306,0.001088329,0.0009421392,0.0008740803,0.002121356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04343458,"about_ca_system_score_gemma":0.07572507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9797401,"about_ca_topic_score_gemma":0.9806984,"domain_scores_codex":[0.9983741,0.00008385091,0.00005462442,0.00008376587,0.001166844,0.0002367732],"domain_scores_gemma":[0.9935566,0.0002128867,0.0001971669,0.0001708053,0.005642096,0.0002204549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001850558,0.0001151127,0.0397476,0.000395453,0.00006441447,0.0004076416,0.001258283,0.1430388,0.002152922,0.1286153,0.360077,0.3239424],"study_design_scores_gemma":[0.00007618136,0.00007439164,0.09230723,0.0003737749,0.00006807531,0.0001738071,0.002305979,0.1607245,0.003202405,0.01932182,0.7211573,0.0002146006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09066442,0.001247073,0.303918,0.004869496,0.0006151699,0.004005612,0.2169953,0.009366602,0.3683182],"genre_scores_gemma":[0.3931346,0.001834125,0.407327,0.0003454434,0.00005616391,0.001658972,0.1055518,0.001207524,0.08888438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04343458,"threshold_uncertainty_score":0.3151414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008259657495402655,"score_gpt":0.1793155749796634,"score_spread":0.1710559174842608,"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."}}