{"id":"W787408588","doi":"","title":"Measurable Perfomance Indicators for Roads: Canadian and International Practice","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Performance indicator; Benchmarking; Performance measurement; Serviceability (structure); Performance management; Business; Risk analysis (engineering); Process management; Environmental economics; Transport engineering; Computer science; Environmental resource management; Engineering; Economics; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04490425,0.001533081,0.001026409,0.02208479,0.005501719,0.01101513,0.005611888,0.00185329,0.005662888],"category_scores_gemma":[0.07179767,0.0005233116,0.0009031215,0.03338906,0.005852155,0.004251683,0.003791355,0.003950843,0.001055514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1168151,"about_ca_system_score_gemma":0.2157284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9304201,"about_ca_topic_score_gemma":0.9052026,"domain_scores_codex":[0.969884,0.005346016,0.003456368,0.002482487,0.01726575,0.001565428],"domain_scores_gemma":[0.8918423,0.01122529,0.004210933,0.0045208,0.08346529,0.004735323],"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":[0.00004993514,0.0001563012,0.01341096,0.002047329,0.00003776394,0.0002247267,0.005514178,0.009202365,0.001472441,0.2626755,0.1540176,0.551191],"study_design_scores_gemma":[0.00001237795,0.0000604427,0.03525458,0.004470989,0.00006967848,0.0002684313,0.00547152,0.006443436,0.001993574,0.02060274,0.9251489,0.0002033694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02766309,0.08074636,0.3117729,0.09738086,0.003946291,0.002804796,0.01871449,0.004071832,0.4528994],"genre_scores_gemma":[0.3163289,0.07892737,0.5260603,0.004394026,0.0006168738,0.00158182,0.01028679,0.001663688,0.06014016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1168151,"threshold_uncertainty_score":0.8475569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300883421862903,"score_gpt":0.225015096381729,"score_spread":0.2120062621631,"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."}}