{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006963275,0.0004570993,0.0004179727,0.000572261,0.0004332175,0.0006503639,0.0007312351,0.0006111096,0.0009744527],"category_scores_gemma":[0.001171513,0.0002999476,0.0002345398,0.0004115537,0.0002824479,0.0004339042,0.0002983923,0.0004771263,0.0004308968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003551326,"about_ca_system_score_gemma":0.0006756822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002439977,"about_ca_topic_score_gemma":0.0009912513,"domain_scores_codex":[0.9993667,0.0001129608,0.00003283956,0.0001222062,0.0003223903,0.00004283163],"domain_scores_gemma":[0.9996384,0.00008081509,0.00001855101,0.00003340487,0.0002136136,0.00001502377],"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":[0.0004071983,0.0001750276,0.004331395,0.0003665388,0.00008890411,0.0003019356,0.0003290417,0.06478619,0.1218033,0.01356727,0.004117431,0.7897259],"study_design_scores_gemma":[0.0001347523,0.0005512867,0.005164283,0.0000394996,0.00007542432,0.0004770948,0.00006913751,0.8436256,0.1134486,0.002640215,0.03367722,0.00009691437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01645685,0.0006723241,0.9747297,0.0001100763,0.0002310167,0.00008256146,0.0000264462,0.001826163,0.005864879],"genre_scores_gemma":[0.616091,0.0006806467,0.3741904,0.00008746961,0.00009232624,0.000185735,0.00009420794,0.00009085195,0.008487403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002439977,"threshold_uncertainty_score":0.00485152,"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."}}