{"id":"W3207879264","doi":"10.1080/00423114.2021.1986223","title":"On dynamic stability evaluation methods for long combination vehicles","year":2021,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tractor; Measure (data warehouse); Stability (learning theory); Engineering; Automobile handling; Automotive engineering; Software; Vehicle dynamics; Simulation; Computer science; Data mining; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002315349,0.0003185879,0.000492762,0.0001287895,0.0001982618,0.0001569622,0.0002256998,0.0002503439,0.00001555745],"category_scores_gemma":[0.000175299,0.0003485267,0.0002226553,0.0003971355,0.00003036239,0.0001743447,0.00003733748,0.0002157201,0.00002219483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925922,"about_ca_system_score_gemma":0.0001066261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001732853,"about_ca_topic_score_gemma":0.000285478,"domain_scores_codex":[0.9974009,0.0005014812,0.0006813176,0.0005068105,0.0004492854,0.0004601591],"domain_scores_gemma":[0.9978882,0.0005144544,0.0001322873,0.0006817722,0.0006565777,0.0001266942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001486527,0.0004243347,0.004036525,0.003777198,0.0005629205,0.00002210663,0.0004933038,0.2438035,0.03936431,0.1436937,0.00009965443,0.5635738],"study_design_scores_gemma":[0.001630752,0.00008231318,0.003400794,0.0001529255,0.00009459169,0.00001664531,0.000491945,0.9913164,0.0007886403,0.001611503,0.00005734796,0.0003561867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5705931,0.0005426537,0.4235588,0.00009417542,0.001340571,0.001190303,0.0001090766,0.0005065515,0.002064842],"genre_scores_gemma":[0.9962826,0.00001179121,0.002579646,0.0000228899,0.00006001977,0.0004628292,0.0003759613,0.0001014296,0.0001027906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7475129,"threshold_uncertainty_score":0.9998966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473672250357864,"score_gpt":0.290747772884962,"score_spread":0.2760110503813833,"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."}}