{"id":"W1966174411","doi":"10.1016/j.scitotenv.2014.10.040","title":"A risk-based approach to sanitary sewer pipe asset management","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water Systems and Optimization","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Asset management; Risk analysis (engineering); Stormwater; Asset (computer security); Risk assessment; Risk management; Environmental planning; Business; Environmental science; Computer science; Finance; Surface runoff","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":[],"consensus_categories":[],"category_scores_codex":[0.0005947046,0.00008141888,0.00007057867,0.0000348246,0.0001319458,0.00002146483,0.0004448077,0.00001353743,0.0000118319],"category_scores_gemma":[0.000006019553,0.00004486836,0.00003554198,0.0001543116,0.0001336117,0.00005549593,0.0001426431,0.00005261765,0.00004015057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006892105,"about_ca_system_score_gemma":0.000002829439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001762771,"about_ca_topic_score_gemma":3.450671e-7,"domain_scores_codex":[0.9991952,0.00003431753,0.0001174353,0.0001351794,0.0003521428,0.0001657906],"domain_scores_gemma":[0.9994254,0.000009174937,0.00003293503,0.0004873652,0.000003352761,0.00004173163],"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":[0.000001448776,0.00001677628,0.00001362144,0.00001090506,0.000005579845,3.063474e-8,0.0001461824,0.9977619,0.001283966,0.0001305991,0.0003375529,0.0002914231],"study_design_scores_gemma":[0.0001684891,0.00003605427,0.02062859,0.00001980083,0.0000284521,0.000001705051,0.00009074247,0.9646159,0.01338589,0.0001057188,0.00078267,0.0001359172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7776248,0.00003786857,0.1754163,0.0003642729,0.0006224705,0.0009537698,0.00001193772,0.00007382598,0.04489479],"genre_scores_gemma":[0.9955922,0.000002726646,0.003755835,0.00001724131,0.00002364282,0.00002206246,6.644444e-7,0.000008650393,0.0005769136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2179675,"threshold_uncertainty_score":0.1829679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004724393950570629,"score_gpt":0.1532506356436922,"score_spread":0.1485262416931216,"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."}}