{"id":"W2163166241","doi":"10.1109/acc.2009.5160098","title":"H&amp;#x221E; robust control of active suspensions: A practical point of view","year":2009,"lang":"en","type":"article","venue":"","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Kinematics; Suspension (topology); Ride quality; Point (geometry); Control theory (sociology); Active suspension; Work (physics); Stability (learning theory); Computer science; Automobile handling; Control (management); Robust control; Vehicle dynamics; Control engineering; Engineering; Control system; Automotive engineering; Mathematics; Artificial intelligence; Mechanical engineering; Physics; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000125992,0.000101372,0.0003169102,0.00004385323,0.0000163865,0.000005142581,0.00006044326,0.00008905408,0.0009900033],"category_scores_gemma":[0.0002732984,0.00007011188,0.00009049158,0.0001168497,0.00003872726,0.0001308005,0.000008489029,0.0001175061,0.00002972209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001312035,"about_ca_system_score_gemma":0.00001773837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005647491,"about_ca_topic_score_gemma":0.000009955611,"domain_scores_codex":[0.9992664,0.00004184322,0.0003227224,0.00009823433,0.0001290614,0.0001417395],"domain_scores_gemma":[0.999405,0.0002385995,0.00003569849,0.0001523751,0.0001026923,0.00006559998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005252747,0.0006761831,0.0002085456,0.00009342009,0.0003443479,0.00001419964,0.0002752907,0.06053896,0.5386628,0.3542422,0.007095064,0.03732368],"study_design_scores_gemma":[0.01790447,0.003651004,0.06730257,0.0005162245,0.00067575,0.0001991168,0.0007380787,0.6801277,0.1613335,0.03485996,0.03061376,0.002077861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02125043,0.0006062966,0.9427309,0.003752796,0.0001299984,0.0003950298,0.00001063276,0.0002017284,0.03092218],"genre_scores_gemma":[0.9913305,0.0001023487,0.008058327,0.0003296235,0.00003129559,0.000004179891,0.00000338137,0.000005684001,0.0001346482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9700801,"threshold_uncertainty_score":0.9999232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566143661908287,"score_gpt":0.2573911288709049,"score_spread":0.2317296922518221,"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."}}