{"id":"W2543036870","doi":"10.1109/peds.2003.1283107","title":"Implementation of a fuzzy logic speed .controller for electric vehicles on a 32-bit microcontroller","year":2004,"lang":"en","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"","keywords":"Fuzzy logic; Microcontroller; Computer science; Fuzzy electronics; Control engineering; Fuzzy control system; Controller (irrigation); Control theory (sociology); Engineering; Computer hardware; Adaptive neuro fuzzy inference system; Control (management); Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000322202,0.0004167709,0.0003495127,0.00050225,0.0003196522,0.0005863192,0.0008389761,0.0003479384,0.009607116],"category_scores_gemma":[0.001029015,0.0001723735,0.0001572445,0.0002432739,0.0001277293,0.0002891383,0.0001674002,0.0004923255,0.002319533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000372218,"about_ca_system_score_gemma":0.0007468239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646756,"about_ca_topic_score_gemma":0.001763551,"domain_scores_codex":[0.9997581,0.00002174249,0.00002232366,0.00004592117,0.0001250132,0.00002695803],"domain_scores_gemma":[0.9996552,0.0000615886,0.00002397699,0.00003745354,0.0002056791,0.00001611072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004959331,0.0003394306,0.001878616,0.0006341659,0.00006821105,0.0005366653,0.0003141179,0.03710131,0.2246248,0.009764244,0.01225147,0.7119911],"study_design_scores_gemma":[0.0005288112,0.001477447,0.006196738,0.0001624129,0.0001530857,0.002060181,0.0001143892,0.4833558,0.3742081,0.004800681,0.1267956,0.0001466681],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06459297,0.0003567203,0.8884826,0.0003061579,0.0005032199,0.001109629,0.0003086548,0.01407974,0.03026024],"genre_scores_gemma":[0.6399133,0.0002524605,0.3293976,0.0002624173,0.00007299839,0.0007919568,0.0003895845,0.0002577,0.02866206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009607116,"threshold_uncertainty_score":0.03213894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137108537000241,"score_gpt":0.2492263322057348,"score_spread":0.2378552468357324,"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."}}