{"id":"W2623382686","doi":"10.1080/00423114.2017.1317102","title":"Kineto-dynamic design optimisation for vehicle-specific seat-suspension systems","year":2017,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Suspension (topology); Vibration; Shock absorber; Engineering; Transmissibility (structural dynamics); Damper; Stiffness; Control theory (sociology); Kinematics; Structural engineering; Linkage (software); Spring (device); Automotive engineering; Vibration isolation; Computer science; Mathematics; Acoustics; Physics","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":[0.0003714894,0.0005097263,0.0005184065,0.0004584995,0.0002926856,0.0005718297,0.0003785127,0.0004929021,0.002214236],"category_scores_gemma":[0.0006961467,0.0003330148,0.0004359604,0.0002334693,0.0002920709,0.000314659,0.0005106934,0.0002504378,0.0004236422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004530976,"about_ca_system_score_gemma":0.0008359282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697411,"about_ca_topic_score_gemma":0.003805277,"domain_scores_codex":[0.999796,0.00004970966,0.00001261098,0.00003367863,0.00007598259,0.00003201659],"domain_scores_gemma":[0.9998435,0.00006114904,0.00003925815,0.00001130145,0.00003779738,0.000007006979],"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":[0.00003065434,0.00001746439,0.0003282194,0.00008447655,0.0000153645,0.00002279641,0.0000336171,0.9827576,0.005612634,0.001261623,0.00008088738,0.009754626],"study_design_scores_gemma":[0.00001087646,0.0001028795,0.0005057887,0.000009095449,0.00001406111,0.00001649842,0.00003794425,0.9964769,0.001329161,0.0006282282,0.0008619684,0.000006523027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09988143,0.0002641926,0.8887134,0.00008233438,0.00001950409,0.0001036899,0.0001065844,0.0002078542,0.01062096],"genre_scores_gemma":[0.969587,0.0001728675,0.02781067,0.00001548614,0.000005474846,0.0001361676,0.00008429365,0.00002460043,0.002163354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002697411,"threshold_uncertainty_score":0.007407308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441130291854324,"score_gpt":0.3177320646426234,"score_spread":0.2733207617240802,"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."}}