{"id":"W4294067900","doi":"10.1007/978-981-19-2840-6_3","title":"Forecasting Flash Floods with Optimized Adaptive Neuro-Fuzzy Inference System and Internet of Things","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Flash flood; Flood myth; Flooding (psychology); Computer science; Internet of Things; Neuro-fuzzy; Climate change; Fuzzy logic; Data mining; Environmental science; Artificial intelligence; Meteorology; Fuzzy control system; Geography; Computer security; Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005966652,0.0004721775,0.0008806045,0.00008285572,0.0001211446,0.00007881908,0.0002581018,0.0004002578,0.00009588864],"category_scores_gemma":[0.0001048789,0.0003518494,0.00006125668,0.0001131855,0.0003634696,0.0001075475,0.0005384494,0.0009830653,0.000001846755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665027,"about_ca_system_score_gemma":0.00001279379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009914053,"about_ca_topic_score_gemma":0.0001065401,"domain_scores_codex":[0.9977616,0.0001480324,0.0005874199,0.0007345108,0.0003937195,0.0003747254],"domain_scores_gemma":[0.9980831,0.0009656061,0.0005497775,0.0002723902,0.00001775001,0.0001114441],"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":[0.0001689916,0.000008534944,0.001368994,0.0001608963,0.00004752341,0.0001065002,0.0005377723,0.9898863,0.000005491132,0.001554791,0.0000288928,0.006125348],"study_design_scores_gemma":[0.0004446764,0.0005671204,0.00003241902,0.001480716,0.00006494359,0.0002492134,0.000008888399,0.9952539,0.000002128328,0.0004476622,0.001053512,0.0003948608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1921614,0.01020497,0.3015803,0.0002122914,0.003009815,0.006074581,0.00008316509,0.0006025362,0.486071],"genre_scores_gemma":[0.9965406,0.00005727459,0.002051692,0.00008504046,0.00009302703,0.00002994195,0.00001491449,0.0000630215,0.001064482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8043792,"threshold_uncertainty_score":0.9998934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220923560582949,"score_gpt":0.2055509647072384,"score_spread":0.1833417291014089,"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."}}