{"id":"W3211784323","doi":"10.1115/imece2000-1212","title":"An Optimum Design Approach Using Active and Semi-Active Suspensions for 3-D Vehicle Models","year":2000,"lang":"en","type":"article","venue":"","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi","funders":"","keywords":"Active suspension; Suspension (topology); Position (finance); Stability (learning theory); Vibration; Computer science; Control theory (sociology); Vehicle dynamics; Car model; Automotive engineering; Engineering; Simulation; Mathematics; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000907343,0.00104364,0.0009742402,0.0007327236,0.0003308645,0.0009463852,0.0008592235,0.001280513,0.003529543],"category_scores_gemma":[0.001637888,0.0009004865,0.001083798,0.0002690312,0.0004580888,0.0005861949,0.0006700653,0.0006592536,0.0006602675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220647,"about_ca_system_score_gemma":0.0007023946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908948,"about_ca_topic_score_gemma":0.002278629,"domain_scores_codex":[0.9996697,0.0001330627,0.00001779065,0.00003988328,0.00009989166,0.0000398134],"domain_scores_gemma":[0.9992324,0.0004562564,0.0001051327,0.00003062006,0.0001540693,0.00002148526],"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":[0.00002551434,0.00002252429,0.00007753971,0.00004781604,0.00001350321,0.00001941582,0.00001864333,0.9887478,0.002235413,0.001517973,0.00007221728,0.007201629],"study_design_scores_gemma":[0.000005565858,0.00004627225,0.00002683726,0.000004486856,0.000005556497,0.000004042295,0.000005557854,0.9989072,0.0003610035,0.0003499585,0.0002810439,0.000002557782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01348176,0.0001045126,0.983484,0.0000504878,0.00001534934,0.00004871644,0.00002063795,0.0001530298,0.002641487],"genre_scores_gemma":[0.7764688,0.0003083381,0.2184848,0.00007681049,0.00003333072,0.0004251175,0.00009524169,0.0001003015,0.004007164],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003529543,"threshold_uncertainty_score":0.0118075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058145751067505,"score_gpt":0.3665596238842873,"score_spread":0.2607450487775368,"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."}}