{"id":"W2972703643","doi":"10.1109/cjece.2019.2904983","title":"Optimal Traction Forces for Four-Wheel Rovers on Rough Terrain","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Slippage; Traction (geology); Tractive force; Terrain; Torque; Control theory (sociology); Computer science; Traction control system; Minification; Contact patch; Constraint (computer-aided design); Mathematical optimization; Automotive engineering; Mathematics; Engineering; Mechanical engineering; Artificial intelligence; Structural engineering; Control (management); Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00007746785,0.0001093503,0.0001574361,0.0001912726,0.00002744794,0.00005383045,0.0000853112,0.00006595593,0.000003542609],"category_scores_gemma":[0.00001176994,0.0001073253,0.00007069632,0.00009801086,0.000002898501,0.0001025306,0.000002646559,0.0002079074,0.000001221303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100904,"about_ca_system_score_gemma":0.00004236357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003658163,"about_ca_topic_score_gemma":0.00003965028,"domain_scores_codex":[0.9994334,0.000003290123,0.0001643869,0.00007741968,0.00006507088,0.0002564199],"domain_scores_gemma":[0.9995723,0.0000718684,0.00002706525,0.00005173197,0.00003253364,0.0002444719],"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":[0.00001295438,0.00000446083,0.0001439909,0.00003858671,0.0000651239,0.0000187999,0.0000905028,0.9303967,0.0004377745,0.00236383,0.0003854932,0.06604178],"study_design_scores_gemma":[0.0003494135,0.0003546953,0.0008663559,0.00003621576,0.000009839316,0.0000853333,0.000004139843,0.9930362,0.0001138224,0.00004399073,0.004972658,0.0001273572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.832875,0.0001832524,0.1658859,0.0000603365,0.0008208219,0.0000890967,0.00000388361,0.00002218062,0.00005957433],"genre_scores_gemma":[0.9974344,0.00001771442,0.002172926,0.0000547549,0.0002789671,0.000001849264,0.000001259071,0.00002295002,0.00001513496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1645595,"threshold_uncertainty_score":0.4376597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005015935113428067,"score_gpt":0.1647944918749435,"score_spread":0.1597785567615154,"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."}}