{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005293058,0.0001486558,0.0001838878,0.00014922,0.00003971543,0.00003394532,0.0001020901,0.00009814842,0.0001274958],"category_scores_gemma":[0.00002254047,0.0001052705,0.00006664221,0.00007964095,0.000009208333,0.00006794105,0.00005742312,0.00009597226,0.000106074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766073,"about_ca_system_score_gemma":0.00001011119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002170537,"about_ca_topic_score_gemma":0.0002955639,"domain_scores_codex":[0.9988478,0.000007305285,0.000294314,0.0002195688,0.0001462268,0.0004847722],"domain_scores_gemma":[0.9996816,0.00003183731,0.000009236023,0.0001408952,0.00004118518,0.00009525973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006545277,0.0002679646,0.0007402692,0.0002740461,0.00009968554,0.0006648464,0.00623287,0.0167653,0.8685703,0.03883068,0.0005805498,0.06631891],"study_design_scores_gemma":[0.004307311,0.0003270405,0.004321552,0.0003520103,0.00004025567,0.00002995485,0.001281926,0.006015468,0.3235604,0.6508359,0.007614143,0.001314001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995776,0.000001665069,0.09782979,0.0002703213,0.000272292,0.0003941754,0.00007258578,0.00008420042,0.001497404],"genre_scores_gemma":[0.9906352,0.000005734487,0.008760047,0.0002158767,0.00005548467,0.00005847026,0.0001594095,0.00003779471,0.00007199796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6120052,"threshold_uncertainty_score":0.4292805,"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."}}