{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005153029,0.0001130891,0.0002130395,0.0004603499,0.000051418,0.00005336924,0.0003802236,0.0001016724,0.00007869448],"category_scores_gemma":[0.0003412285,0.00009969133,0.00009022836,0.0001854978,0.00007143424,0.0002779078,0.0001002685,0.0005934899,9.002908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365501,"about_ca_system_score_gemma":0.0001078156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001680426,"about_ca_topic_score_gemma":0.00003152294,"domain_scores_codex":[0.9986288,0.0000595693,0.0005344892,0.0000924631,0.0005172044,0.0001674866],"domain_scores_gemma":[0.9988974,0.0001036239,0.0001950195,0.0001119532,0.0006250335,0.00006702445],"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":[0.001112276,0.00009838926,0.3168685,0.0002829577,0.002883729,0.00008541039,0.00254194,0.2704985,0.01243685,0.007888904,0.04165792,0.3436446],"study_design_scores_gemma":[0.001301195,0.00008747001,0.9367177,0.0006135069,0.00004267506,0.0000702146,0.0001926881,0.002134558,0.004790531,0.04521414,0.008710496,0.0001247904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740714,0.0008361874,0.01738616,0.0001774522,0.003362241,0.00009289326,0.00002397451,0.00001849615,0.004031169],"genre_scores_gemma":[0.9975552,0.0009778324,0.000859215,0.00002659341,0.0005093061,0.000001192106,0.000002649565,0.00001229007,0.00005571221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6198493,"threshold_uncertainty_score":0.4065295,"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."}}