{"id":"W4316076774","doi":"10.1109/ictacse50438.2022.10009722","title":"Features of Metaheuristic Algorithm for Integration with ANFIS Model","year":2022,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adaptive neuro fuzzy inference system; Metaheuristic; Computer science; Artificial neural network; Artificial intelligence; Algorithm; Machine learning; Inference system; Evolutionary computation; Fuzzy logic; Mathematical optimization; Fuzzy control system; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001843703,0.00005997045,0.0001244195,0.00004270225,0.00009117518,0.00002490055,0.0003461505,0.00001156266,0.000003147735],"category_scores_gemma":[0.000007267344,0.00003932099,0.00004184849,0.0001402462,0.00001160774,0.0000985692,0.00006910633,0.00004832456,4.184674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001920915,"about_ca_system_score_gemma":0.00004821582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006384029,"about_ca_topic_score_gemma":0.000009273863,"domain_scores_codex":[0.9994022,0.0000310069,0.0001107192,0.0001635883,0.0001970575,0.00009546307],"domain_scores_gemma":[0.9995934,0.00005088649,0.00006210012,0.0002046587,0.00006705035,0.00002184478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002246964,0.00006978787,0.00000642298,0.000009366438,0.0000375196,0.000001976153,0.0004606342,0.009185247,0.0005006064,0.6560228,0.004918592,0.3287646],"study_design_scores_gemma":[0.0003348759,0.0002850138,0.00004920132,0.000001758424,0.00000862081,0.00001032386,0.0001138232,0.9790128,0.0002895767,0.01958067,0.0002473481,0.0000659824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00009631376,0.00009775784,0.9866676,0.0003041182,0.00008168449,0.0002271457,0.00001088458,0.00004842661,0.01246609],"genre_scores_gemma":[0.7179244,6.092226e-7,0.2793276,0.0001706575,0.00001497127,0.0001534704,0.000003848236,0.000003204876,0.002401249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9698275,"threshold_uncertainty_score":0.1603463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274287839784809,"score_gpt":0.2156393925819675,"score_spread":0.2028965141841194,"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."}}