{"id":"W2163446657","doi":"10.1061/(asce)1076-0342(2008)14:3(193)","title":"Municipal Infrastructure Asset Levels of Service Assessment for Investment Decisions Using Analytic Hierarchy Process","year":2008,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Analytic hierarchy process; Asset (computer security); Service (business); Transport engineering; Process (computing); Asset management; Work (physics); Level of service; Computer science; Investment (military); Analytic network process; Risk analysis (engineering); Business; Operations research; Engineering; Computer security; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000507924,0.0004826303,0.001128407,0.0006257288,0.0002098927,0.00006073643,0.0006165706,0.0003158079,0.00002490078],"category_scores_gemma":[0.000173935,0.0003795512,0.0003101408,0.0007136229,0.00008194081,0.000514542,0.00006353631,0.0007554885,4.627543e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005535934,"about_ca_system_score_gemma":0.000484102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002125404,"about_ca_topic_score_gemma":0.000005984254,"domain_scores_codex":[0.9965301,0.00007958544,0.001730835,0.000237354,0.0008504003,0.0005717689],"domain_scores_gemma":[0.9967682,0.0002025677,0.0009944532,0.0004496839,0.001310965,0.0002740657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005807503,0.0000173391,0.004090638,0.000663011,0.0004588924,0.00005592504,0.002660844,0.9695423,0.02031128,0.0004847983,0.001092911,0.0005639708],"study_design_scores_gemma":[0.008688458,0.001230137,0.1791309,0.005157463,0.001088858,0.01326945,0.0120339,0.7328939,0.01957961,0.01417256,0.01033945,0.002415252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.930124,0.0005929925,0.06460855,0.0000290658,0.00353284,0.0005629651,0.0001666488,0.00004645019,0.0003365014],"genre_scores_gemma":[0.962958,0.00004663063,0.03568957,0.00008971799,0.00110156,0.00001252602,0.000008737083,0.00008236244,0.00001084666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2366484,"threshold_uncertainty_score":0.9998657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318877505226442,"score_gpt":0.3044968029764386,"score_spread":0.2713080279241742,"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."}}