{"id":"W4206518424","doi":"10.1109/ieeeconf53624.2021.9668179","title":"Evaluation of Interaction between Bridge Infrastructure Resilience Factors Against Seismic Hazard Hazard","year":2021,"lang":"en","type":"article","venue":"2021 Third International Sustainability and Resilience Conference: Climate Change","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Bridge (graph theory); Resilience (materials science); Natural hazard; Hazard; Risk analysis (engineering); Critical infrastructure; Fuzzy logic; Seismic hazard; Computer science; Work (physics); Outcome (game theory); Construction engineering; Engineering; Computer security; Business; Civil engineering; Artificial intelligence; Geography","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":[0.002370327,0.0005226167,0.0003494163,0.002064369,0.0003452787,0.000801002,0.0002107602,0.0004635796,0.0026022],"category_scores_gemma":[0.01002004,0.0001558566,0.0008061934,0.0009588855,0.0004621038,0.0006981725,0.0007271646,0.0003297369,0.0001498185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006931465,"about_ca_system_score_gemma":0.0007032969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001786228,"about_ca_topic_score_gemma":0.00234183,"domain_scores_codex":[0.9983037,0.0008487392,0.00008833822,0.0001805702,0.00041524,0.0001635385],"domain_scores_gemma":[0.9924887,0.005548235,0.0008414065,0.0002037523,0.0006564389,0.0002614585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002409144,0.000868485,0.7025652,0.000826991,0.001141351,0.001404715,0.002616584,0.1201218,0.0352851,0.00522107,0.00070628,0.1268333],"study_design_scores_gemma":[0.00003354399,0.002673542,0.7990764,0.0001087985,0.0009090042,0.0003895159,0.004725405,0.1704587,0.01564538,0.004117205,0.001754295,0.0001082302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892731,0.000100148,0.007063471,0.00005839918,0.000005291932,0.00006091247,0.0001069891,0.00002442365,0.003307192],"genre_scores_gemma":[0.9985464,0.000030503,0.001185374,0.000002688954,0.000001453781,0.00001875005,0.00003941927,0.000001867468,0.0001735727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0026022,"threshold_uncertainty_score":0.01253563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334345471966719,"score_gpt":0.3095911216796203,"score_spread":0.2761565744829484,"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."}}