{"id":"W3109799760","doi":"10.5604/01.3001.0014.4605","title":"Simulation analysis of the selected control algorithms for semiactive suspension","year":2018,"lang":"en","type":"article","venue":"WUT Journal of Transportation Engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suspension (topology); Damper; Control (management); Variable (mathematics); Control theory (sociology); Selection (genetic algorithm); Engineering; Quarter (Canadian coin); Car model; Control engineering; Computer science; Algorithm; Mathematics; Automotive engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001569019,0.00009079647,0.0002588388,0.0001907892,0.00003447374,0.000007406925,0.00008538961,0.00006706747,0.00003356378],"category_scores_gemma":[0.00008135461,0.0000639295,0.0002063871,0.0005958507,0.00001758658,0.0001343058,6.608237e-7,0.0000968801,2.982528e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002751978,"about_ca_system_score_gemma":0.00001550177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001120068,"about_ca_topic_score_gemma":0.000010256,"domain_scores_codex":[0.9992231,0.00001191512,0.0004454401,0.00005706722,0.0001591382,0.0001033629],"domain_scores_gemma":[0.9989893,0.0002320256,0.0001178506,0.00006536808,0.000557476,0.00003799968],"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":[0.00004051419,0.000008268232,0.0007468067,0.000013347,0.0005328493,4.983729e-7,0.0002411176,0.9383792,0.05958249,0.0001110671,0.00001401833,0.0003298526],"study_design_scores_gemma":[0.0006423489,0.00007808453,0.09119629,0.00001870662,0.0005802444,5.748942e-7,0.00001549078,0.8949115,0.01233603,0.00001293576,0.0001436826,0.00006409807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3117305,0.00006709104,0.6877741,0.00002997626,0.0002504915,0.00009310035,0.0000254712,0.00002344834,0.000005811092],"genre_scores_gemma":[0.9975179,0.000004997928,0.00230341,0.00001269814,0.0001294169,0.000002194671,0.00001182628,0.00001145564,0.000006068035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6857874,"threshold_uncertainty_score":0.2606969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008495324020849496,"score_gpt":0.2261352954426908,"score_spread":0.2176399714218413,"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."}}