{"id":"W4399073776","doi":"10.1109/tiv.2024.3406582","title":"A Terramechanics-based Dynamic Model for Motion Control of Unmanned Tracked Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Motion control; Computer science; Motion (physics); Control engineering; Automotive engineering; Control (management); Aerospace engineering; Control theory (sociology); Engineering; Artificial intelligence; Robot","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":[0.000172697,0.0006952818,0.0005320371,0.0003876695,0.0002942822,0.0006306241,0.000872923,0.0007078815,0.002553541],"category_scores_gemma":[0.0003173423,0.0002886739,0.0005962111,0.0004056088,0.0003131169,0.0007846054,0.000641373,0.0008494067,0.0006784794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004010042,"about_ca_system_score_gemma":0.0007397943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008366195,"about_ca_topic_score_gemma":0.007104476,"domain_scores_codex":[0.9998611,0.00002163688,0.000008607638,0.00003847102,0.00005281771,0.00001737084],"domain_scores_gemma":[0.9999107,0.00001572065,0.00002434872,0.00001304019,0.00003132783,0.000004912207],"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":[0.00001550856,0.00001226598,0.0002965884,0.00004924301,0.00001406065,0.00005415548,0.00002383917,0.9782493,0.003466784,0.006443383,0.0004512488,0.01092369],"study_design_scores_gemma":[0.000003289909,0.0000224942,0.0001802761,0.000005281451,0.000003796606,0.0000119743,0.000006592641,0.9963972,0.0003010801,0.0008734584,0.002190506,0.000004044932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01338339,0.0003651749,0.9768503,0.0001227699,0.0001043362,0.00005768205,0.0003644139,0.0003290829,0.008423006],"genre_scores_gemma":[0.9179465,0.001150744,0.06279834,0.000150513,0.00008193844,0.0005017737,0.001131368,0.00009196348,0.01614689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008366195,"threshold_uncertainty_score":0.016635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814532804301401,"score_gpt":0.2511110525994274,"score_spread":0.2329657245564134,"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."}}