{"id":"W2024121787","doi":"10.1177/0954407014557053","title":"A comparative study of multi-trailer articulated heavy-vehicle models","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Trailer; Degrees of freedom (physics and chemistry); Linear model; Vehicle dynamics; Stability (learning theory); Yaw; Frequency domain; Computer science; Control theory (sociology); Engineering; Automotive engineering; Artificial intelligence; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004908501,0.0004360566,0.0004645898,0.0006018078,0.0003478379,0.0005004692,0.0008635659,0.0005979893,0.002740028],"category_scores_gemma":[0.001204258,0.0001689744,0.0006673822,0.0003459947,0.0002041358,0.0006306028,0.0004577623,0.0004179434,0.0004111163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005002369,"about_ca_system_score_gemma":0.0004790597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006873201,"about_ca_topic_score_gemma":0.006015097,"domain_scores_codex":[0.9997754,0.00006857894,0.0000170217,0.00002952079,0.00008125534,0.00002828409],"domain_scores_gemma":[0.9992405,0.000390239,0.0000881633,0.00009209437,0.0001545163,0.00003446718],"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":[0.00007762531,0.00004829108,0.001336975,0.00006409157,0.00001726031,0.00007041996,0.00004349691,0.9856007,0.001619847,0.001930134,0.0001368488,0.009054256],"study_design_scores_gemma":[0.00000394459,0.00006518597,0.0003950791,0.000007682832,0.000005782953,0.00001534066,0.00001939534,0.9978827,0.0008000769,0.0003510457,0.0004474364,0.000006305542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171153,0.0006378717,0.2538073,0.0002245091,0.00006294691,0.0001634301,0.0006620032,0.0006347466,0.0266919],"genre_scores_gemma":[0.9808723,0.0002386586,0.01544657,0.00001531826,0.00001022582,0.00005851516,0.0002485395,0.00004179745,0.003068052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006873201,"threshold_uncertainty_score":0.01366639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400627989407257,"score_gpt":0.2126319401893196,"score_spread":0.198625660295247,"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."}}