{"id":"W168611155","doi":"10.2495/str050221","title":"Seismic Vulnerability Study Of HistoricalBuildings In Old Montreal: Overview AndPerspectives","year":2005,"lang":"en","type":"article","venue":"WIT transactions on the built environment","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Masonry; Vulnerability (computing); Vulnerability assessment; Infill; Seismic risk; Seismic hazard; Civil engineering; Induced seismicity; Vulnerability index; Typology; Engineering; Forensic engineering; Geography; Geology; Computer science; Psychological resilience; Archaeology","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":[0.000402392,0.0005668622,0.0002627058,0.003962316,0.0007942266,0.001001665,0.0005317397,0.00018933,0.001619296],"category_scores_gemma":[0.0006967506,0.0001757241,0.0002867734,0.004713219,0.0006058525,0.0004370446,0.0004737688,0.0001469219,0.0001238834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005888925,"about_ca_system_score_gemma":0.002645962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6153513,"about_ca_topic_score_gemma":0.8231772,"domain_scores_codex":[0.9997119,0.00004457219,0.00001279398,0.00003181611,0.0001325494,0.00006639407],"domain_scores_gemma":[0.9996829,0.00005451293,0.00006331976,0.00001312183,0.0001398429,0.00004636179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001679307,0.0001168736,0.5958958,0.002225341,0.0004140484,0.003748654,0.0112822,0.0315631,0.01409642,0.0139018,0.005868066,0.3207199],"study_design_scores_gemma":[0.00000425462,0.0001461957,0.9367633,0.0002272574,0.0001554398,0.001017629,0.008053561,0.008426327,0.003123162,0.001036242,0.04097392,0.00007252413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906745,0.03510494,0.01249967,0.0006159412,0.00005240734,0.0001620022,0.002023952,0.0001133646,0.0426827],"genre_scores_gemma":[0.9734272,0.01624656,0.003437993,0.00003658695,0.00004842169,0.00002701779,0.0007931805,0.0000129635,0.005970087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3846487,"threshold_uncertainty_score":0.773828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356914177686293,"score_gpt":0.2098027431339799,"score_spread":0.196233601357117,"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."}}