{"id":"W4212902152","doi":"10.1007/s13753-022-00400-x","title":"A Building Classification System for Multi-hazard Risk Assessment","year":2022,"lang":"en","type":"article","venue":"International Journal of Disaster Risk Science","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Taxonomy (biology); Natural hazard; Scope (computer science); Computer science; Hazard; Vulnerability (computing); Risk assessment; Risk analysis (engineering); Environmental resource management; Environmental science; Business; Geography; Ecology; Computer security; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002529955,0.0009912986,0.0006518193,0.009047454,0.0009790251,0.00289681,0.001365811,0.0009556973,0.01514588],"category_scores_gemma":[0.007165943,0.0003633352,0.001388162,0.005149527,0.000344705,0.003190666,0.002232393,0.0008410804,0.007129086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678417,"about_ca_system_score_gemma":0.001737575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00982144,"about_ca_topic_score_gemma":0.007592395,"domain_scores_codex":[0.9976943,0.0003479187,0.0005385748,0.0003926072,0.0008501251,0.0001765091],"domain_scores_gemma":[0.9950104,0.0009329119,0.0004755564,0.0009677256,0.002397627,0.0002158546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004945222,0.0003938643,0.04568275,0.001267161,0.0001717343,0.0006513068,0.001562769,0.03048068,0.007518497,0.07331819,0.12493,0.7135285],"study_design_scores_gemma":[0.0001025988,0.0003095198,0.03574377,0.0008138507,0.0001883322,0.0008747784,0.001595421,0.3460296,0.01142119,0.06588138,0.5367959,0.0002437051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04041263,0.000608212,0.8008842,0.0006178232,0.0002309034,0.002298365,0.07875261,0.04257996,0.03361539],"genre_scores_gemma":[0.1503998,0.0004118058,0.7335793,0.0001796471,0.00005279058,0.001445994,0.1055718,0.0007905372,0.007568341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01514588,"threshold_uncertainty_score":0.05066806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477306492349958,"score_gpt":0.3191789348820694,"score_spread":0.2944058699585699,"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."}}