{"id":"W7046826927","doi":"","title":"Estimating risk of contaminant intrusion in distribution networks using fuzzy rule-based modeling","year":2007,"lang":"en","type":"other","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Water Works Association Research Foundation","keywords":"Fuzzy logic; Intrusion; Mains electricity; Fuzzy cognitive map; Expert system; Intrusion detection system; Fuzzy control system","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":[0.001525732,0.000799344,0.0007318049,0.001749335,0.0006367899,0.001957165,0.001178725,0.001076028,0.00107734],"category_scores_gemma":[0.005587958,0.0003805769,0.0008727018,0.0009289901,0.0006495707,0.001563064,0.0006235582,0.0005904878,0.0001219355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187193,"about_ca_system_score_gemma":0.001105394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02981671,"about_ca_topic_score_gemma":0.01951649,"domain_scores_codex":[0.999129,0.0002854138,0.00005502847,0.0001569712,0.0002911372,0.00008248998],"domain_scores_gemma":[0.9966999,0.002340963,0.0004531283,0.00009684041,0.0003434771,0.00006567897],"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":[0.00002459342,0.00001853808,0.001312808,0.000009548841,0.00002258171,0.00005356943,0.00002602614,0.9912049,0.0002107507,0.001765766,0.000069249,0.00528161],"study_design_scores_gemma":[0.000002779181,0.000006776394,0.0001756405,0.000002075572,0.000006334572,0.000009749636,0.000007889565,0.9977042,0.000123143,0.001909733,0.00004783185,0.000003814449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3098149,0.0002041453,0.6830112,0.000486719,0.00002546175,0.0001356815,0.0002562095,0.0004184361,0.005647127],"genre_scores_gemma":[0.9585903,0.0001057814,0.0402841,0.00002276139,0.0000104149,0.00004649554,0.0000790979,0.00000930545,0.0008517611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02981671,"threshold_uncertainty_score":0.05928636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441669454681442,"score_gpt":0.2740719554984585,"score_spread":0.2596552609516441,"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."}}