{"id":"W2781713781","doi":"10.1109/cac.2017.8243715","title":"Modeling and path tracking for articulated steering vehicles","year":2017,"lang":"en","type":"article","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"MATLAB; Control theory (sociology); Path (computing); Vehicle dynamics; Tracking (education); Torque; Computer science; PID controller; Controller (irrigation); Articulated vehicle; Limiting; Control engineering; Stability (learning theory); Control (management); Engineering; Automotive engineering; Artificial intelligence; Truck","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":[0.0001073766,0.00007956924,0.0001161824,0.00001771748,0.0001812929,0.0002238823,0.00008083534,0.00004272676,0.000001439688],"category_scores_gemma":[0.00001319525,0.00007377104,0.0000304243,0.000007900806,0.000007509398,0.0001527004,0.00001698467,0.00004198105,0.000001228717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001192136,"about_ca_system_score_gemma":0.000002292777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005103981,"about_ca_topic_score_gemma":0.00004191783,"domain_scores_codex":[0.9995627,0.000002323612,0.0001256126,0.00009831067,0.00004636846,0.0001646279],"domain_scores_gemma":[0.9997286,0.00001168349,0.00001458084,0.0001759951,0.00002508847,0.00004411629],"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":[0.00001081601,0.00000836021,0.00187413,0.000173156,0.00009458746,0.000004789765,0.0002483113,0.8150721,0.07121297,0.005331708,0.00001661146,0.1059524],"study_design_scores_gemma":[0.0003660168,0.000007882199,0.001354393,0.00003152999,0.000008860018,0.000002537916,0.00004591951,0.9975761,0.0002156819,0.0002242217,0.0000601829,0.0001067432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8768049,0.0001578235,0.1217333,0.00003602487,0.000118129,0.0001364981,0.00000302431,0.0001447976,0.0008654658],"genre_scores_gemma":[0.9992171,0.00001516438,0.00060294,0.000006816755,0.00006044366,0.00001955046,0.000001104715,0.00002289198,0.00005401767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1825039,"threshold_uncertainty_score":0.3008296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440387802928623,"score_gpt":0.214972551651325,"score_spread":0.2005686736220388,"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."}}