{"id":"W7019441647","doi":"","title":"GIS-based decision support system for evaluating renewal technologies for municipal sewer and water pipelines","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trenchless technology; Decision support system; Pipeline transport; Pipeline (software); Sanitary sewer; Water pipe","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001482893,0.0008871826,0.0009180357,0.002600256,0.0004307755,0.00132472,0.0009124328,0.0006972805,0.004185069],"category_scores_gemma":[0.003722158,0.0003566412,0.0004597102,0.001335545,0.0003007132,0.00125443,0.000482647,0.000358375,0.0008646984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249287,"about_ca_system_score_gemma":0.0009606782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007268432,"about_ca_topic_score_gemma":0.006517955,"domain_scores_codex":[0.9993415,0.0002347625,0.00008004411,0.00009283217,0.0002168274,0.00003398026],"domain_scores_gemma":[0.9978523,0.0009303041,0.0001852282,0.0001472734,0.0007633959,0.0001215101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001360463,0.0004798104,0.01099109,0.0003346749,0.0001948617,0.0003864772,0.000239495,0.7194265,0.01796834,0.003410827,0.007471105,0.2377363],"study_design_scores_gemma":[0.00008065577,0.0001369033,0.001325822,0.00001530773,0.00004363889,0.00003206133,0.00007601444,0.9899576,0.005535047,0.0009751465,0.001802028,0.00001974236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3039469,0.0002521503,0.6585345,0.0004745871,0.00006214806,0.0009493703,0.005915942,0.02217345,0.007690956],"genre_scores_gemma":[0.7445176,0.000132017,0.2499758,0.00005623837,0.00001926767,0.0005113008,0.003040335,0.00009240608,0.00165509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007268432,"threshold_uncertainty_score":0.01445222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221420183841105,"score_gpt":0.2604649528427275,"score_spread":0.2282507510043165,"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."}}