{"id":"W4221015755","doi":"10.3390/mca27020029","title":"Applications of ANFIS-Type Methods in Simulation of Systems in Marine Environments","year":2022,"lang":"en","type":"article","venue":"Mathematical and Computational Applications","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptive neuro fuzzy inference system; Particle swarm optimization; Genetic algorithm; Computer science; Evolutionary algorithm; Adaptability; Algorithm; Marine engineering; Simulation; Machine learning; Engineering; Artificial intelligence; Fuzzy logic; Ecology; Fuzzy control system","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004151228,0.00006608887,0.0001624253,0.00006608732,0.00006112474,0.000003925968,0.0001204103,0.00002566095,0.0004524678],"category_scores_gemma":[0.00002478905,0.00006499038,0.00001851348,0.0005152767,0.0001310123,0.00003011787,0.0002353371,0.00009207652,0.00001384225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006512415,"about_ca_system_score_gemma":0.000006253446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004400868,"about_ca_topic_score_gemma":0.000001741474,"domain_scores_codex":[0.9989946,0.00009785764,0.0004146379,0.0001821371,0.0002199282,0.00009085223],"domain_scores_gemma":[0.999253,0.0004655638,0.0001269721,0.0001166544,0.000005941467,0.00003185641],"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":[0.000006238208,0.00036522,0.005223155,0.00002747913,0.00000269478,1.503032e-7,0.0001094633,0.9664433,0.0006615556,0.01795758,0.000002433024,0.009200738],"study_design_scores_gemma":[0.0001674204,0.00004107665,0.01704174,0.00000505992,0.000005803367,0.000003754959,0.0000404489,0.794392,0.00002714597,0.1866049,0.00160378,0.00006674146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3975726,0.00002810926,0.5997602,0.00009526792,0.000006862317,0.0007652685,0.00001452517,0.00001140613,0.001745813],"genre_scores_gemma":[0.9330444,0.000001054834,0.06642331,0.00002003158,0.000003478135,0.0004208497,0.00002673106,0.000005285314,0.00005486219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5354718,"threshold_uncertainty_score":0.4954205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559893912168882,"score_gpt":0.3135372054881549,"score_spread":0.2879382663664661,"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."}}