{"id":"W2142517004","doi":"10.1109/ccece.1999.808186","title":"Fuzzy logic controller for a DC to DC converter","year":2003,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Fuzzy logic; Flyback converter; Computer science; Buck converter; Buck–boost converter; Forward converter; Topology (electrical circuits); Electronic engineering; Control theory (sociology); Boost converter; Controller (irrigation); MATLAB; Logic gate; Power (physics); Voltage; Electrical engineering; Engineering; Control (management); Artificial intelligence; Physics","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":[0.0003902253,0.0001536472,0.0002891325,0.0000592567,0.00009428387,0.0001439942,0.0005448619,0.00007205078,0.00002467879],"category_scores_gemma":[0.0001007636,0.0001069873,0.0001273313,0.0001743233,0.00001661578,0.0001599613,0.0000514282,0.00004866266,0.0005275119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003050336,"about_ca_system_score_gemma":0.00004964876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002460743,"about_ca_topic_score_gemma":0.000009248058,"domain_scores_codex":[0.99868,0.0000707957,0.0002473681,0.0004145895,0.0001794221,0.0004078253],"domain_scores_gemma":[0.9991227,0.0001485,0.000046832,0.0003945221,0.0001185616,0.0001688752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000160965,0.00003138807,0.00007788421,0.000005413458,0.00002024141,0.00000299236,0.0001053871,0.00001635661,0.000845758,0.9798684,0.01437053,0.004639626],"study_design_scores_gemma":[0.008647536,0.001100294,0.0005553572,0.0000214266,0.0000243732,0.00005906899,0.0002085247,0.01711778,0.00117498,0.5966375,0.3735126,0.0009406054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002461373,0.0001137135,0.7379753,0.002656767,0.0005413674,0.000733421,0.000001539384,0.0001470166,0.2575847],"genre_scores_gemma":[0.9550012,0.000001185237,0.02040907,0.01272481,0.00008344894,0.0002619798,4.375609e-7,0.000007686483,0.01151023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.954755,"threshold_uncertainty_score":0.6780274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170937491515285,"score_gpt":0.2373303313106481,"score_spread":0.2156209563954953,"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."}}