{"id":"W606141836","doi":"10.20381/ruor-19821","title":"Seismic risk assessment of reinforced concrete buildings using fuzzy based techniques","year":2008,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Reinforced concrete; Engineering; Construction engineering; Computer science; Civil engineering; Forensic engineering; Structural engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007998417,0.0002752379,0.0005877092,0.001352431,0.000330474,0.00001440072,0.0007662405,0.0005532717,0.00005129832],"category_scores_gemma":[0.00009755978,0.0003633488,0.0001891235,0.0007221096,0.00023426,0.0002369482,0.00008008887,0.001313534,0.000001753217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007757096,"about_ca_system_score_gemma":0.0004594436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906739,"about_ca_topic_score_gemma":0.00004800294,"domain_scores_codex":[0.9975787,0.0001788159,0.0003517797,0.0003350409,0.001039935,0.0005157621],"domain_scores_gemma":[0.9979057,0.0002547349,0.0003197383,0.0005443039,0.0008151864,0.000160281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005195698,0.00006799267,0.07103264,0.05117474,0.002211597,0.0007147603,0.009145156,0.0550605,0.6155095,0.01151567,0.04666944,0.1363784],"study_design_scores_gemma":[0.001326928,0.0009832319,0.0788259,0.003445644,0.0001933116,0.0000149248,0.002731516,0.4683045,0.4287141,0.0004467303,0.01360629,0.001406915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827954,0.00005381029,0.002428128,0.00001523083,0.0002027106,0.0008018247,0.0001099083,0.0005172389,0.01307574],"genre_scores_gemma":[0.8991909,0.001068527,0.09859595,0.000001729873,0.00006526746,0.000002870321,0.0001737172,0.0000727289,0.0008283017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.413244,"threshold_uncertainty_score":0.9998819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04137859721078319,"score_gpt":0.350971777661357,"score_spread":0.3095931804505738,"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."}}