{"id":"W2321772613","doi":"10.1080/17499518.2015.1106562","title":"Seismic vulnerability assessment for Montreal","year":2015,"lang":"en","type":"article","venue":"Georisk Assessment and Management of Risk for Engineered Systems and Geohazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; SNC-Lavalin (Canada)","funders":"","keywords":"Seismic hazard; Seismic risk; Earthquake scenario; Estimation; Seismology; Vulnerability (computing); Attenuation; Population; Geography; Environmental science; Geology; Engineering; Computer science; Demography; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001100479,0.0002894498,0.0005370636,0.0001651607,0.0001058871,0.00007920544,0.0001210193,0.00009501049,0.000001607836],"category_scores_gemma":[0.00000676369,0.000261149,0.0001277641,0.0001476047,0.0000338574,0.0001883545,0.00005297088,0.0001100602,4.154077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009749732,"about_ca_system_score_gemma":0.00002517985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003164094,"about_ca_topic_score_gemma":0.00002035519,"domain_scores_codex":[0.9985322,0.00002520671,0.0004901604,0.0003192321,0.0002615844,0.000371577],"domain_scores_gemma":[0.9992181,0.00009133794,0.0001076457,0.0002953403,0.000126382,0.0001611987],"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":[0.00009343497,0.0001635352,0.01540492,0.005959857,0.002435868,0.000003340456,0.0005191501,0.7659498,0.0000446198,0.01098099,0.01478023,0.1836643],"study_design_scores_gemma":[0.002427074,0.0001871892,0.02486467,0.00008772668,0.0005359092,0.000002040885,0.001570465,0.9459541,0.00001945304,0.001059933,0.02296648,0.0003249242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5145614,0.002224972,0.479603,0.00005925097,0.0007640168,0.00129266,0.0003969945,0.0001631812,0.0009345207],"genre_scores_gemma":[0.9869823,0.003874708,0.007997878,0.000006969408,0.0001533068,0.0005570246,0.0001389982,0.00003496835,0.0002538653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4724209,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353858344573561,"score_gpt":0.2695765448363559,"score_spread":0.2560379613906203,"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."}}