{"id":"W2767965473","doi":"10.1504/ijvsmt.2017.10008917","title":"An optimal robust controller for active trailer differential braking systems of car-trailer combinations","year":2017,"lang":"en","type":"article","venue":"International Journal of Vehicle Systems Modelling and Testing","topic":"Engine and Fuel Emissions","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Trailer; Automotive engineering; Engineering; Differential (mechanical device); Braking system; Control theory (sociology); Controller (irrigation); Control engineering; Computer science; Aerospace engineering; Brake; Control (management); Artificial intelligence","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":[0.0003856739,0.0006885592,0.0005222945,0.00037261,0.0003347876,0.0007328482,0.0007162413,0.0004547865,0.001313143],"category_scores_gemma":[0.0005686688,0.0002422721,0.0004259837,0.0002005099,0.0003316243,0.0002951183,0.0004483017,0.0005033483,0.000265045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028914,"about_ca_system_score_gemma":0.0005008329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002518195,"about_ca_topic_score_gemma":0.002650066,"domain_scores_codex":[0.9996536,0.00003422811,0.00002073438,0.00009153061,0.0001536433,0.0000463408],"domain_scores_gemma":[0.9997509,0.00006710165,0.00007345495,0.00001478781,0.00008019414,0.00001360568],"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":[0.0002275644,0.00007278543,0.0004614699,0.0003940688,0.0001001694,0.0002075057,0.0001557705,0.7656273,0.07705952,0.009935093,0.001299769,0.144459],"study_design_scores_gemma":[0.00003100251,0.0002129466,0.0002671313,0.00001524099,0.00002884789,0.00005054564,0.00001288775,0.988782,0.007348815,0.000908787,0.002326823,0.00001510103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02800768,0.0004479327,0.9650269,0.00006358358,0.00007449996,0.00005927473,0.00003206038,0.0005066998,0.005781384],"genre_scores_gemma":[0.9517213,0.0001941159,0.04544165,0.00004563082,0.00003169581,0.00009709234,0.00004563726,0.00002714956,0.002395848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002518195,"threshold_uncertainty_score":0.005007029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05827748018234712,"score_gpt":0.2793035658729284,"score_spread":0.2210260856905813,"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."}}