{"id":"W2229059055","doi":"10.5281/zenodo.1055177","title":"Fuzzy Pid Controller With Coupled Rules For A Nonlinear Quarter Car Model","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PID controller; Control theory (sociology); Nonlinear system; Quarter (Canadian coin); Computer science; Controller (irrigation); Control engineering; Engineering; Artificial intelligence; Mathematics; Control (management); Physics; Temperature control; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000254557,0.0004731423,0.0005654683,0.0002286278,0.0003953767,0.000779823,0.0008306064,0.0007255697,0.002323748],"category_scores_gemma":[0.0005626389,0.0002538406,0.0004375027,0.0002321194,0.000336097,0.000382997,0.0003472707,0.0005918942,0.0005557566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003234427,"about_ca_system_score_gemma":0.0005546218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006926859,"about_ca_topic_score_gemma":0.004833273,"domain_scores_codex":[0.9998363,0.00001985837,0.0000108012,0.00004698515,0.00006763204,0.00001842509],"domain_scores_gemma":[0.9998689,0.00003568584,0.00001833514,0.00002143532,0.00004899695,0.00000669062],"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":[0.0003144989,0.00009209009,0.0006450908,0.0002838398,0.00008124526,0.0002919714,0.0001723515,0.872488,0.02916502,0.007899587,0.0009487286,0.08761761],"study_design_scores_gemma":[0.00001869514,0.00006638536,0.0001896802,0.000005674178,0.0000154354,0.00003299827,0.000007066311,0.9961416,0.001735343,0.0006868251,0.001092829,0.000007406221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04428017,0.0005252608,0.9454701,0.00007449534,0.0001205812,0.00009165749,0.0000739235,0.0006030214,0.008760699],"genre_scores_gemma":[0.9395604,0.0002799178,0.05246436,0.00004526773,0.00002731102,0.0001398663,0.0001018716,0.00002687012,0.007354248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006926859,"threshold_uncertainty_score":0.01377308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040926789010382,"score_gpt":0.2158851206771512,"score_spread":0.1854758527870474,"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."}}