{"id":"W4293381933","doi":"10.1504/ijhvs.2022.10050282","title":"Linear-control vs. ADRC for automatic management of the handling-comfort contradiction of a quarter-car system","year":2022,"lang":"en","type":"article","venue":"International Journal of Heavy Vehicle Systems","topic":"Engine and Fuel Emissions","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Engineering; Contradiction; Control (management); Automotive engineering; Automatic control; Aeronautics; Control engineering; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008332721,0.0004433163,0.0003931181,0.0003197427,0.0004892831,0.0009919159,0.0004024653,0.0004004643,0.00424225],"category_scores_gemma":[0.0009413662,0.000126578,0.0002215501,0.000192539,0.0004163851,0.0004124801,0.0004508056,0.0004615947,0.0003986548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916981,"about_ca_system_score_gemma":0.0005293132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006963463,"about_ca_topic_score_gemma":0.005644068,"domain_scores_codex":[0.9995337,0.0001250753,0.00003676419,0.00008568881,0.00008339874,0.0001353317],"domain_scores_gemma":[0.9993353,0.0002815204,0.00007037741,0.00005768317,0.0002200267,0.00003503847],"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":[0.00588936,0.0006005511,0.004321345,0.0008085817,0.0001635056,0.0003588381,0.0004218741,0.6124524,0.0771597,0.01319504,0.003101405,0.2815274],"study_design_scores_gemma":[0.00007791473,0.0007801329,0.001508264,0.00002031181,0.00005540574,0.00005930759,0.00008724171,0.9858425,0.009818707,0.000849921,0.0008819812,0.00001822067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5178962,0.001385005,0.4380476,0.0007251844,0.000348686,0.0001597434,0.00012754,0.002412716,0.0388974],"genre_scores_gemma":[0.9975649,0.00002570144,0.001708877,0.00002487672,0.000009109653,0.000005309171,0.0000070186,0.000006499488,0.0006475974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006963463,"threshold_uncertainty_score":0.01419169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007106422272429493,"score_gpt":0.2208258610073886,"score_spread":0.2137194387349591,"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."}}