{"id":"W3018748951","doi":"10.1504/ijvp.2020.106985","title":"An overview of control schemes for improving the lateral stability of car-trailer combinations","year":2020,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Stability (learning theory); Trailer; Control (management); Electronic stability control; Computer science; Control theory (sociology); Engineering; Automotive engineering; Artificial intelligence; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003257614,0.00007425181,0.0002014049,0.00003809675,0.00002442608,0.00002247862,0.0003894564,0.00003045138,0.00001528983],"category_scores_gemma":[0.00003423578,0.00005600855,0.0001150808,0.00005885389,0.00003520442,0.0002933934,0.00001310002,0.0001175589,4.255175e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003643509,"about_ca_system_score_gemma":0.00003754902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001046923,"about_ca_topic_score_gemma":0.000004210598,"domain_scores_codex":[0.9990385,0.00002164674,0.0005209701,0.0000565972,0.0002724497,0.00008983136],"domain_scores_gemma":[0.9989436,0.00007138933,0.0002558222,0.00008722186,0.0005963898,0.00004552507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007814426,0.0003845168,0.1630419,0.001081211,0.001040131,0.000003817622,0.003149506,0.1294938,0.621408,0.005827527,0.00008786085,0.0737002],"study_design_scores_gemma":[0.001667361,0.0002451225,0.02484838,0.00005286898,0.00002589576,0.000005816707,0.00007353738,0.9646352,0.007999887,0.00004126387,0.0003433778,0.00006129168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911832,0.0004830744,0.007275232,0.0005224768,0.0002861862,0.0001314136,0.00007290618,0.000009415416,0.00003612914],"genre_scores_gemma":[0.9995293,0.00005979708,0.0001625337,0.00007194442,0.0001556715,0.00000613148,0.000002585269,0.00001059419,0.000001465517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8351414,"threshold_uncertainty_score":0.2283963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538894754762538,"score_gpt":0.2609386600028707,"score_spread":0.2355497124552454,"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."}}