{"id":"W4409799920","doi":"10.11159/icsect25.152","title":"Prevention and Safety Research of Bridge Life Cycle Risk Accidents","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beijing Jiaotong University; National Natural Science Foundation of China","keywords":"Bridge (graph theory); Computer science; Forensic engineering; Engineering; Risk analysis (engineering); Business; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001538889,0.0004984598,0.000284323,0.002757381,0.0006881029,0.0007831648,0.0007662727,0.0006263282,0.001893642],"category_scores_gemma":[0.003763815,0.0001429298,0.0004415961,0.0008265321,0.0004204409,0.000983633,0.0005059846,0.000400221,0.0001999048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008692312,"about_ca_system_score_gemma":0.00234381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003640434,"about_ca_topic_score_gemma":0.002238378,"domain_scores_codex":[0.9986136,0.0004552083,0.0001009976,0.0001707726,0.0005558128,0.0001035972],"domain_scores_gemma":[0.9981601,0.0004521978,0.000313229,0.00007849769,0.0008768596,0.0001192146],"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":[0.0003569653,0.001456309,0.1694379,0.003130025,0.000291876,0.00120119,0.003940775,0.02039456,0.006848102,0.05601006,0.00653019,0.7304019],"study_design_scores_gemma":[0.0002654272,0.00823243,0.4837765,0.005374137,0.001464152,0.005517415,0.02554028,0.1505656,0.0366657,0.1318987,0.1504339,0.0002658062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7219108,0.06749383,0.1387341,0.009196679,0.0007051785,0.0006832616,0.0003195607,0.0003325245,0.06062408],"genre_scores_gemma":[0.966223,0.01720444,0.01163538,0.0002952629,0.000171976,0.0001124613,0.0001870096,0.00001040702,0.004160064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003640434,"threshold_uncertainty_score":0.008138537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006993950091703306,"score_gpt":0.2372441288470592,"score_spread":0.2302501787553559,"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."}}