{"id":"W4411347772","doi":"10.11159/ijci.2025.006","title":"Prevention and Safety Research of Bridge Life Cycle Risk Accidents","year":2025,"lang":"en","type":"article","venue":"International Journal of Civil Infrastructure","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bridge (graph theory); Forensic engineering; Engineering; Medicine; Internal 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":[0.003009336,0.0007277469,0.0004044597,0.003746236,0.0008131759,0.001287857,0.001088508,0.0008211578,0.00178996],"category_scores_gemma":[0.01246918,0.0002299031,0.0005060536,0.001262205,0.001041451,0.001550514,0.001028882,0.0005897523,0.0001911663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147159,"about_ca_system_score_gemma":0.002776112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002496794,"about_ca_topic_score_gemma":0.002018968,"domain_scores_codex":[0.9974374,0.001103995,0.000181824,0.0003094722,0.0008067327,0.0001605721],"domain_scores_gemma":[0.9907095,0.004575302,0.002157412,0.0004099818,0.001927924,0.0002199251],"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":[0.0002526727,0.002208734,0.1557919,0.003235817,0.0005741529,0.0008584948,0.007855676,0.1198834,0.006188454,0.1789356,0.00248556,0.5217295],"study_design_scores_gemma":[0.0001123261,0.006075815,0.1800384,0.004273154,0.0009833514,0.002495755,0.02587904,0.4437762,0.02539829,0.2513447,0.05939384,0.0002290626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6673839,0.02618246,0.2693392,0.003787514,0.0002116149,0.0005165655,0.0001765083,0.000171366,0.03223083],"genre_scores_gemma":[0.9796026,0.006284313,0.0126433,0.000108708,0.00005943311,0.00008679947,0.00007374426,0.000008569202,0.001132536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003746236,"threshold_uncertainty_score":0.0159151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101135094621071,"score_gpt":0.3154453867371424,"score_spread":0.3053318772750353,"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."}}