{"id":"W2106132706","doi":"10.1109/isic.2002.1157763","title":"Path-tracking for tractor-trailers with hitching of both the on-axle and the off-axle kind","year":2003,"lang":"en","type":"article","venue":"","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Axle; Tractor; Offset (computer science); Control theory (sociology); Robustness (evolution); Linearization; Jacobian matrix and determinant; Computer science; Automotive engineering; Engineering; Mathematics; Nonlinear system; Structural engineering; Artificial intelligence; Control (management); Physics","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":[0.0003704154,0.0005533546,0.00032614,0.0003028717,0.0003591351,0.0003497536,0.000328206,0.0003865829,0.002084052],"category_scores_gemma":[0.0006939404,0.0001965867,0.0003190676,0.0002505424,0.0004691131,0.0003370778,0.0005907436,0.0003292503,0.000220456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004472436,"about_ca_system_score_gemma":0.000718396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009451428,"about_ca_topic_score_gemma":0.008727537,"domain_scores_codex":[0.9999018,0.00001837243,0.000006100533,0.00002232636,0.00003228936,0.00001918822],"domain_scores_gemma":[0.9996767,0.0001079435,0.0001173612,0.00002085136,0.00005999612,0.00001714559],"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":[0.0001350149,0.0000456195,0.001104038,0.0001376112,0.00003277721,0.0002126127,0.0002034888,0.9281996,0.01734583,0.007112895,0.000402272,0.04506815],"study_design_scores_gemma":[0.00001277756,0.0001866188,0.0004476426,0.000006894516,0.00001083271,0.00003725004,0.00003649488,0.993257,0.003042715,0.002241341,0.0007106537,0.000009636505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1484773,0.0001659761,0.8441753,0.00008232047,0.00002533395,0.0001011168,0.0000613898,0.0004312881,0.006479961],"genre_scores_gemma":[0.969701,0.0001535889,0.02465022,0.00001793331,0.000008917636,0.00006293088,0.00007597156,0.00002397664,0.005305494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009451428,"threshold_uncertainty_score":0.01879281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00520922801438825,"score_gpt":0.181858249513659,"score_spread":0.1766490214992708,"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."}}