{"id":"W6981920692","doi":"","title":"Fuzzy cognitive maps for decision support to maintain water quality in ageing water mains","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decision support system; Water quality; Prioritization; Quality (philosophy); Fuzzy cognitive map; Fuzzy logic; Mains electricity; Decision analysis; Field (mathematics)","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":[0.001614267,0.0006127832,0.0005498742,0.001174966,0.0008005019,0.002231708,0.0008654424,0.000994802,0.003955757],"category_scores_gemma":[0.005054214,0.0001759652,0.000729448,0.000840482,0.0009316196,0.001502081,0.0009144659,0.0007507917,0.0003697362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207049,"about_ca_system_score_gemma":0.001762311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01465747,"about_ca_topic_score_gemma":0.01015204,"domain_scores_codex":[0.999347,0.0003498964,0.00003845615,0.00006026887,0.000143841,0.00006054816],"domain_scores_gemma":[0.9985024,0.001019708,0.0001145334,0.00004626426,0.0002362649,0.00008084158],"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":[0.0004258827,0.0002331438,0.002638312,0.0004985873,0.0001892713,0.0007019007,0.002214512,0.5370743,0.002687388,0.2001264,0.005356841,0.2478535],"study_design_scores_gemma":[0.00004871664,0.0001122531,0.0008812834,0.0001079452,0.00005472179,0.00008476115,0.0008076736,0.8331253,0.001127267,0.1572083,0.006385399,0.00005644458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08802335,0.001376831,0.8821576,0.002718227,0.0001652171,0.0003411345,0.0004034578,0.000677431,0.02413667],"genre_scores_gemma":[0.803474,0.0006517054,0.192065,0.0001742494,0.00007770428,0.0003055446,0.0001566323,0.00001652395,0.003078572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01465747,"threshold_uncertainty_score":0.02914429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241244118967906,"score_gpt":0.2572910976796127,"score_spread":0.2448786564899337,"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."}}