{"id":"W2331407279","doi":"10.1061/41050(357)14","title":"Risk-Based Rapid Visual Screening of Bridges","year":2009,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Vulnerability (computing); Bridge (graph theory); Seismic risk; Fuzzy logic; Fragility; Probabilistic logic; Computer science; Hazard; Prioritization; Ranking (information retrieval); Seismic hazard; Plan (archaeology); Analytic hierarchy process; Scheme (mathematics); Risk management; Reliability engineering; Risk analysis (engineering); Engineering; Civil engineering; Operations research; Computer security; Artificial intelligence; Geology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009432691,0.0005808123,0.000449489,0.00275055,0.0002965432,0.001231635,0.0006956308,0.0004208221,0.004535102],"category_scores_gemma":[0.002916313,0.0003056821,0.0003648803,0.0006322077,0.0002236355,0.0007558794,0.001284572,0.0002952621,0.000716684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007615871,"about_ca_system_score_gemma":0.0008364632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006567914,"about_ca_topic_score_gemma":0.007989457,"domain_scores_codex":[0.9994059,0.0001479741,0.00003041119,0.00007384901,0.0002742722,0.00006772759],"domain_scores_gemma":[0.9990528,0.000305776,0.00008952666,0.00008043844,0.00041107,0.00006030965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009725337,0.0001732084,0.008286447,0.0002650595,0.00006762629,0.0004527365,0.0008353262,0.0869751,0.1695848,0.009668645,0.005692585,0.717026],"study_design_scores_gemma":[0.00005767488,0.0002594782,0.01522893,0.00006220235,0.00006001964,0.0004865476,0.0004636028,0.9159344,0.05352051,0.008114163,0.005731401,0.0000811072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1525565,0.0002377752,0.8330585,0.0001983574,0.00002791753,0.000295632,0.0004099067,0.003628719,0.009586728],"genre_scores_gemma":[0.6362126,0.0001991083,0.359064,0.00003732966,0.00001377246,0.0001145011,0.0003590693,0.000102464,0.003897177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006567914,"threshold_uncertainty_score":0.01517147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005091923317258796,"score_gpt":0.2179699393175081,"score_spread":0.2128780160002493,"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."}}