{"id":"W3159684038","doi":"10.1061/(asce)be.1943-5592.0001733","title":"Prioritizing Bridge Rehabilitation Plans through Systemic Risk-Guided Classifications","year":2021,"lang":"en","type":"article","venue":"Journal of Bridge Engineering","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Stantec (Canada)","funders":"","keywords":"Bridge (graph theory); Operationalization; Component (thermodynamics); Closure (psychology); Vulnerability (computing); Risk analysis (engineering); Rehabilitation; Engineering; Hazard; Robustness (evolution); Computer science; Transport engineering; Business; Computer security; Medicine","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":[0.004334034,0.0008578995,0.0007626303,0.00471909,0.0007325686,0.003203617,0.001261426,0.0008196168,0.002255016],"category_scores_gemma":[0.01021266,0.0003855922,0.0005565953,0.001694557,0.00112966,0.003012474,0.003259963,0.001083012,0.0002363311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505021,"about_ca_system_score_gemma":0.004937945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006777755,"about_ca_topic_score_gemma":0.01456746,"domain_scores_codex":[0.9974552,0.001051103,0.0001219088,0.0004033141,0.0007120686,0.0002563924],"domain_scores_gemma":[0.9957986,0.001767829,0.0009022017,0.000249361,0.0009002872,0.000381623],"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":[0.000140755,0.0002927055,0.05055922,0.0003442385,0.000174317,0.0002787563,0.001884052,0.569441,0.005483957,0.1175632,0.004740557,0.2490973],"study_design_scores_gemma":[0.00001977385,0.0002198538,0.01698001,0.0001996747,0.00008532617,0.00008202036,0.002701608,0.8856102,0.001451622,0.0877108,0.00487398,0.00006508356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2535064,0.0004836534,0.7276472,0.00179656,0.00003586781,0.0006958689,0.0004141138,0.0003160182,0.01510432],"genre_scores_gemma":[0.8371938,0.0002901975,0.1605059,0.00006777228,0.00002007759,0.0002365041,0.0003745999,0.0000418712,0.001269391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006777755,"threshold_uncertainty_score":0.02292085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443748385314207,"score_gpt":0.2464990258075316,"score_spread":0.2320615419543895,"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."}}