{"id":"W4390038042","doi":"10.1139/cjce-2023-0257","title":"Seismic vulnerability assessment of post-tensioned timber building fitted with dissipative bracing systems","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Okanagan College; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bracing; Vulnerability (computing); Dissipative system; Structural engineering; Vulnerability assessment; Geotechnical engineering; Engineering; Forensic engineering; Geology; Civil engineering; Computer science; Brace; Physics; Psychology; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003101918,0.0003813624,0.0003299111,0.0004907128,0.000199062,0.0003206393,0.0004180245,0.0003705572,0.00121052],"category_scores_gemma":[0.0004331913,0.0001536394,0.0002591197,0.0003301792,0.0002800705,0.0002483267,0.0003386272,0.0001806923,0.0002322152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003307318,"about_ca_system_score_gemma":0.0002162329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004267645,"about_ca_topic_score_gemma":0.007002936,"domain_scores_codex":[0.9998729,0.00001998758,0.000005956735,0.00001641745,0.00005076686,0.00003391322],"domain_scores_gemma":[0.999806,0.00006248551,0.00003253419,0.00002051792,0.000048975,0.00002947117],"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":[0.001743492,0.0003829375,0.05458788,0.0001962232,0.0001011739,0.001429776,0.0004434538,0.6023302,0.2978308,0.001000479,0.0003177084,0.0396359],"study_design_scores_gemma":[0.00004311659,0.002897564,0.1180647,0.00002808657,0.0001251507,0.0002460654,0.0006980504,0.8122416,0.06449484,0.0003468643,0.000764491,0.00004952902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982016,0.00001415301,0.001157693,0.000004197173,0.000001301027,0.000005225749,0.00003537259,0.00001814247,0.000562243],"genre_scores_gemma":[0.9993444,0.00001362808,0.0003619656,0.000001168033,3.10547e-7,0.000003073893,0.00002986273,0.000002454861,0.0002430579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004267645,"threshold_uncertainty_score":0.008485556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007752713934862378,"score_gpt":0.2198230062456947,"score_spread":0.2120702923108324,"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."}}