{"id":"W2383055337","doi":"","title":"Research on Intelligent Car's Servo Control Algorithm Based on Fuzzy Control","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Fuzzy logic; Fuzzy control system; Stability (learning theory); Control (management); Path (computing); Intelligent control; Electronic stability control; Field (mathematics); Servomechanism; Control theory (sociology); Algorithm; Control engineering; Artificial intelligence; Automotive engineering; Machine learning; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002972078,0.0003945166,0.0004710439,0.000542078,0.0004278473,0.0006831595,0.0007537553,0.0006212548,0.001725453],"category_scores_gemma":[0.0005526048,0.0001690201,0.0003581598,0.0004771961,0.0004119345,0.0008341713,0.0001659081,0.0004442198,0.0002362306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005320023,"about_ca_system_score_gemma":0.0006736263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006939743,"about_ca_topic_score_gemma":0.002447827,"domain_scores_codex":[0.9997252,0.0000234889,0.00001606814,0.00007086198,0.0001381209,0.00002629842],"domain_scores_gemma":[0.9998438,0.0000368975,0.000009786146,0.00001167903,0.0000875413,0.00001025248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002599753,0.0001296053,0.002477199,0.0005084656,0.00009082544,0.0001801657,0.0004724594,0.1485607,0.07465303,0.05807633,0.004524145,0.710067],"study_design_scores_gemma":[0.00007717341,0.0003007599,0.001694654,0.00004910234,0.00006107872,0.0002419574,0.00006430363,0.9565439,0.01981355,0.005886703,0.01521666,0.0000501255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02971053,0.002275126,0.9549329,0.0002800957,0.0002249928,0.00007502561,0.00002764617,0.0008253562,0.01164826],"genre_scores_gemma":[0.8238811,0.002733611,0.161766,0.0002066931,0.0001882084,0.0001335584,0.0001131346,0.00006495407,0.01091281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006939743,"threshold_uncertainty_score":0.01379871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05110536223649789,"score_gpt":0.2996393422759301,"score_spread":0.2485339800394322,"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."}}