{"id":"W4293530449","doi":"10.1016/j.ress.2022.108779","title":"Data-driven optimization of repair schemes and inspection intervals for highway bridges","year":2022,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Bridge (graph theory); Hazard; Reliability engineering; Bridge maintenance; Engineering; Duration (music); Process (computing); Markov chain; Computer science; Transport engineering; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005649196,0.0001619035,0.0002982865,0.00009168365,0.0001101206,0.00001313341,0.0001942506,0.00005340193,0.000004216673],"category_scores_gemma":[0.0001105395,0.0001732341,0.00007165839,0.0001483785,0.00001824799,0.0001808821,0.0001358001,0.0001535917,2.507069e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003976846,"about_ca_system_score_gemma":0.00001637136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002128337,"about_ca_topic_score_gemma":0.000001202572,"domain_scores_codex":[0.9988698,0.00002550914,0.0004587111,0.0002892398,0.0001553008,0.0002013938],"domain_scores_gemma":[0.999184,0.00009736064,0.00006565049,0.0005377644,0.00007230185,0.00004299875],"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":[0.00002219728,0.000006718948,0.0006594806,0.001498223,0.00004489268,5.878882e-7,0.0001140681,0.9956672,0.001027655,0.0005506194,0.000184944,0.0002234],"study_design_scores_gemma":[0.0002629453,0.000048741,0.001839064,0.0001239584,0.00003111001,0.00001503316,0.0001967988,0.9890701,0.001020162,0.000003161844,0.007224534,0.000164456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.117821,0.000437454,0.8758155,0.0000283014,0.00242706,0.0007690901,0.0005829076,0.001994608,0.0001240689],"genre_scores_gemma":[0.9758046,0.00003016109,0.02375867,0.000001751728,0.0001619178,0.00008336044,0.0001082553,0.00004328279,0.000008004803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8579836,"threshold_uncertainty_score":0.706428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008927543258834261,"score_gpt":0.2118640216964559,"score_spread":0.2029364784376216,"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."}}