{"id":"W2084990428","doi":"10.6106/kjcem.2010.11.6.35","title":"A Study on Asset Valuation Method for Bridge Asset management","year":2010,"lang":"en","type":"article","venue":"Korean Journal of Construction Engineering and Management","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Highway Administration; University of Waterloo; U.S. Department of Transportation","keywords":"Valuation (finance); Cost accounting; Business; Asset management; Actuarial science; Risk analysis (engineering); Finance; Accounting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005764489,0.0001719639,0.0001992522,0.0003544577,0.00005506591,0.00006200816,0.0001014547,0.00004100769,0.000003302812],"category_scores_gemma":[0.00001376115,0.0001596904,0.00006794144,0.0001115042,0.00001173816,0.0001272252,0.00002121462,0.000232896,8.352681e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004358949,"about_ca_system_score_gemma":0.000003691685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.210934e-7,"about_ca_topic_score_gemma":7.681694e-7,"domain_scores_codex":[0.9991192,0.00001256719,0.0003370053,0.0001295238,0.0002115906,0.0001901438],"domain_scores_gemma":[0.9995821,0.00003528639,0.00008852677,0.0001484919,0.0000717951,0.00007380036],"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":[0.0001270542,0.0001361474,0.001735278,0.0008596324,0.002133354,0.0001835097,0.0008902636,0.3100246,0.005705719,0.07070867,0.003197428,0.6042984],"study_design_scores_gemma":[0.0217915,0.003090013,0.5418577,0.001429548,0.00321658,0.003271826,0.009892333,0.2376932,0.0158227,0.009992247,0.1488663,0.003076018],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3019365,0.0000210829,0.6924219,0.00004048667,0.003902993,0.0005162846,0.000005194812,0.00009422637,0.00106135],"genre_scores_gemma":[0.8543698,0.00005463372,0.1451233,0.00001087116,0.0003534146,0.00003053795,0.000002620287,0.0000287275,0.00002613395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6012223,"threshold_uncertainty_score":0.6511986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129763864544677,"score_gpt":0.2619186106975084,"score_spread":0.2506209720520617,"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."}}