{"id":"W4413211853","doi":"10.2139/ssrn.5365900","title":"Biogeography-Based Optimization of Fuzzy Controllers for Improved Quarter Car Suspension Performance","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Suspension (topology); Quarter (Canadian coin); Fuzzy logic; Biogeography; Control theory (sociology); Car model; Computer science; Mathematics; Engineering; Automotive engineering; Geography; Artificial intelligence; Control (management); Biology; Ecology","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":[0.0009098825,0.0002457997,0.000399191,0.0005048767,0.00009374699,0.00004631865,0.0003084021,0.0002845795,0.000009472772],"category_scores_gemma":[0.00006011347,0.0002341138,0.000305043,0.000239152,0.00002176453,0.00006210641,0.00003545959,0.001864749,7.137849e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003905874,"about_ca_system_score_gemma":0.001190908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001215941,"about_ca_topic_score_gemma":0.00002364431,"domain_scores_codex":[0.9979313,0.00003792751,0.0004749415,0.0002061972,0.0001800808,0.001169537],"domain_scores_gemma":[0.9991807,0.0000932761,0.0001029479,0.000281242,0.0002658159,0.00007604584],"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":[0.00009796122,0.00002237561,0.000008061431,0.0003015411,0.0002508918,9.758403e-8,0.00001080836,0.9922188,0.001856812,0.00172915,0.0000761971,0.003427332],"study_design_scores_gemma":[0.001212677,0.0002768291,0.000004792591,0.0001708323,0.00006805955,0.000002842897,0.00004066584,0.992835,0.002312167,0.002770087,0.0001032195,0.0002028489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009248414,0.001510571,0.9874967,0.0001784167,0.0005445297,0.0006336093,0.0000624578,0.0001162615,0.0002090565],"genre_scores_gemma":[0.9884586,0.003832579,0.007145821,0.00001339737,0.0001569437,0.00009450452,0.0001256991,0.0000437831,0.0001286541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9803509,"threshold_uncertainty_score":0.9546884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007337286431437466,"score_gpt":0.2319573271174382,"score_spread":0.2246200406860008,"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."}}