{"id":"W2744387713","doi":"","title":"Seismic microzonation and vulnerability assessment of buildings and critical infrastructure: A case study of Québec City, Canada","year":2016,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Seismic microzonation; Vulnerability assessment; Critical infrastructure; Geography; Seismology; Urban seismic risk; Earthquake scenario; Geology; Seismic hazard; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003322408,0.0005188559,0.0002589266,0.001644473,0.003093039,0.001749699,0.001079619,0.0007498476,0.002540752],"category_scores_gemma":[0.0009948038,0.0002607327,0.0003941593,0.003381212,0.0009843295,0.0004552037,0.0007890456,0.0004866943,0.0001708425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04148013,"about_ca_system_score_gemma":0.02279181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965265,"about_ca_topic_score_gemma":0.9986492,"domain_scores_codex":[0.9995279,0.00005610619,0.000009711393,0.00004100993,0.0001499327,0.0002152906],"domain_scores_gemma":[0.999383,0.0001017241,0.00005646917,0.00001806201,0.0003249065,0.0001158367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005412076,0.0005779593,0.6917568,0.0003994079,0.0003851129,0.008057624,0.01313979,0.1356736,0.005990594,0.01313277,0.01325677,0.1170883],"study_design_scores_gemma":[0.00004841614,0.0001481046,0.8656996,0.0001454443,0.0001252953,0.0003888241,0.03780867,0.07662345,0.001055934,0.0009102617,0.01694757,0.00009837635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869899,0.0002880623,0.0007578349,0.0003769445,0.000005169163,0.00009081162,0.0009286521,0.00002011884,0.01054237],"genre_scores_gemma":[0.9941142,0.0002051105,0.0005538909,0.00002939363,0.000001831654,0.00001635705,0.0002670366,0.000007053637,0.004805211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04148013,"threshold_uncertainty_score":0.3009608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006554379022879112,"score_gpt":0.2528366426326557,"score_spread":0.2462822636097765,"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."}}