{"id":"W6996341149","doi":"","title":"Risk-based maintenance optimization of bridge structures","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Minification; Bridge (graph theory); Ranking (information retrieval); Optimal maintenance; Measure (data warehouse); Bridge maintenance; Compromise; Preventive maintenance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00004607472,0.0001016979,0.0001164669,0.00005499482,0.00003172889,0.000009426699,0.00009722805,0.00005318359,0.00005466551],"category_scores_gemma":[0.00003376161,0.00009226052,0.00004275949,0.0001082453,0.00003295017,0.00006045054,0.000008490933,0.0001160411,0.000002625499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006436735,"about_ca_system_score_gemma":0.00002039571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001655877,"about_ca_topic_score_gemma":0.000003389085,"domain_scores_codex":[0.9994639,0.000005958386,0.0001474036,0.00009274971,0.0001054547,0.0001845563],"domain_scores_gemma":[0.9997008,0.00001092993,0.00004296733,0.0001611012,0.00005097305,0.0000331951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006957964,0.000002920745,0.0004612737,0.00003069075,0.00001011074,0.000002378011,0.0000756208,0.9866261,0.008507657,0.001265725,0.0002386632,0.002771912],"study_design_scores_gemma":[0.003273276,0.000136107,0.06175686,0.0002816966,0.0000685563,0.00001684273,0.00008423261,0.2994483,0.5834662,0.04862602,0.002078375,0.0007634532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2564097,0.00003756121,0.7357762,0.00003339772,0.0006414676,0.000107616,0.00002215368,0.0001882038,0.006783648],"genre_scores_gemma":[0.932291,0.0000246577,0.06751441,0.00002108439,0.0001098588,0.000004551786,0.000005732083,0.00002122236,0.000007517286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6871778,"threshold_uncertainty_score":0.3762275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005320132768295031,"score_gpt":0.2004366158133231,"score_spread":0.1951164830450281,"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."}}