{"id":"W1967964048","doi":"10.4271/2013-01-2388","title":"Characterization of Driver Steering Control of Articulated Freight Vehicles Based on a Two-Stage Preview Strategy","year":2013,"lang":"en","type":"article","venue":"SAE International journal of commercial vehicles","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Articulated vehicle; Control (management); Automotive engineering; Stage (stratigraphy); Engineering; Computer science; Aeronautics; Transport engineering; Control engineering; Truck; 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":[0.000238637,0.0004144397,0.0003409947,0.0002103774,0.0001174805,0.000419843,0.0003225543,0.0002794967,0.0007006039],"category_scores_gemma":[0.0004019297,0.000132791,0.0003066878,0.0001011752,0.0002253267,0.0001745287,0.0002235905,0.000208533,0.00008981679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470866,"about_ca_system_score_gemma":0.000442639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004848599,"about_ca_topic_score_gemma":0.003336948,"domain_scores_codex":[0.9998931,0.00001863379,0.000005565101,0.00002513729,0.00003410283,0.00002348355],"domain_scores_gemma":[0.9997458,0.00009567109,0.00006420964,0.00001817643,0.00005976253,0.00001647441],"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":[0.0003102106,0.00009731574,0.004572789,0.0001247043,0.00005352598,0.0001869356,0.0001953421,0.8709363,0.09501107,0.003115021,0.0001823727,0.02521439],"study_design_scores_gemma":[0.000003538951,0.0001197088,0.001581124,0.000002226188,0.000005302675,0.00001457405,0.00001744575,0.9954221,0.002598326,0.0001485312,0.00008096969,0.000006197699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7099873,0.0002027482,0.284753,0.000034515,0.000008855407,0.00005671567,0.00008304907,0.0001234727,0.004750147],"genre_scores_gemma":[0.998421,0.00002183635,0.001189872,0.00000205618,0.000001012686,0.000009749115,0.00002074243,0.000002567128,0.0003312357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004848599,"threshold_uncertainty_score":0.009640753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008719954514214987,"score_gpt":0.2237675259439423,"score_spread":0.2150475714297273,"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."}}