{"id":"W1991787316","doi":"10.1115/1.4006047","title":"An Automated Design Method for Active Trailer Steering Systems of Articulated Heavy Vehicles","year":2012,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"University of Michigan","keywords":"Control engineering; Engineering; Trailer; Automation; Stability (learning theory); Controller (irrigation); Bilevel optimization; Variable (mathematics); Design methods; Computer science; Control theory (sociology); Simulation; Automotive engineering; Control (management); Optimization problem; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002727727,0.0001993351,0.0006487215,0.0001376494,0.00004168632,0.00004323555,0.0002283681,0.0001998665,0.00000614806],"category_scores_gemma":[0.00008876811,0.0001652399,0.0001866248,0.0001669289,0.000009725029,0.0003771601,0.000008445635,0.0002106246,0.000001928473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196191,"about_ca_system_score_gemma":0.00003978135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000942373,"about_ca_topic_score_gemma":4.801038e-7,"domain_scores_codex":[0.9978452,0.0004480346,0.0008878598,0.0001062375,0.0003118085,0.0004009128],"domain_scores_gemma":[0.9984097,0.0005603048,0.0003220871,0.0001721246,0.0002557535,0.0002799848],"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":[0.0002797956,0.00009287097,0.000003567517,0.0000757074,0.0002797595,0.000004131375,0.0001531853,0.5010472,0.4935721,0.0007760773,0.0001156064,0.003600041],"study_design_scores_gemma":[0.001024008,0.0005731509,0.0001473242,0.0001388307,0.00013485,0.0001011654,0.0001662477,0.9331158,0.06423892,0.0001432038,0.00004681101,0.0001696253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05280701,0.0004974973,0.9453115,0.00001350204,0.0006974119,0.0005095127,0.00001072007,0.0001438958,0.000008943607],"genre_scores_gemma":[0.9314654,0.00001256082,0.06819854,0.000008492013,0.0002278963,0.00002616373,9.94901e-7,0.00005520954,0.000004773804],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8786584,"threshold_uncertainty_score":0.6738287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078551479617513,"score_gpt":0.2850338343821804,"score_spread":0.2542483195860052,"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."}}