{"id":"W2378166618","doi":"","title":"The Application and Implementation of PID Algorithm In Automotive Chassis Dynamometer","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; PID controller; Chassis; Computer science; Dynamometer; Automotive engineering; Power (physics); Controller (irrigation); Algorithm; Control engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006494715,0.00007810828,0.0001011965,0.00005655516,0.00005837825,0.00001798992,0.00008981784,0.00002766336,8.927774e-7],"category_scores_gemma":[1.169465e-7,0.00006712116,0.0000222409,0.0001771122,0.00001853245,0.00005593683,0.000009466792,0.00005414963,0.00000373036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003731151,"about_ca_system_score_gemma":0.000003985609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001709251,"about_ca_topic_score_gemma":0.00003398382,"domain_scores_codex":[0.9994724,0.00001069586,0.0002247236,0.0001210922,0.000052103,0.0001190354],"domain_scores_gemma":[0.9997228,0.00003835487,0.00004080478,0.0001391335,0.00003594907,0.00002293576],"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":[5.913144e-7,0.00001000596,0.0001164896,0.000005777909,0.000008095753,5.204447e-8,0.0001950548,0.0005295596,0.0145591,0.0007832825,0.00004150006,0.9837505],"study_design_scores_gemma":[0.002590332,0.0001408427,0.2666725,0.00003640305,0.00005215133,0.00002908032,0.001233925,0.4393148,0.03247095,0.01227292,0.2444453,0.0007407227],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01006077,0.0003499737,0.9884706,0.000189508,0.000007822498,0.0006923865,0.00001389533,0.00006892405,0.0001460996],"genre_scores_gemma":[0.9704559,0.00007142167,0.02900891,0.00004804587,0.00005467328,0.0003220042,0.00001868954,0.000009513509,0.00001084808],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9830098,"threshold_uncertainty_score":0.2737122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00214242836334466,"score_gpt":0.2298986786557619,"score_spread":0.2277562502924173,"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."}}