{"id":"W2773941985","doi":"10.1109/iros.2017.8206616","title":"Tire force estimation of unmanned ground vehicles on off-road terrains for navigation decisions","year":2017,"lang":"en","type":"article","venue":"","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Terrain; Centroid; Computer science; Unmanned ground vehicle; Point cloud; Point (geometry); Vehicle dynamics; Simulation; Computer vision; Artificial intelligence; Engineering; Automotive engineering; Mathematics; Geography","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":[0.0001197067,0.00009260735,0.0001144792,0.00004437085,0.0001746895,0.00005472059,0.0001701424,0.00007775725,0.000003504725],"category_scores_gemma":[0.000119493,0.00008772291,0.00005714458,0.00002698994,0.00001663754,0.0001661986,0.00002084631,0.00005218153,0.00000719938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000369322,"about_ca_system_score_gemma":0.000006894355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002885407,"about_ca_topic_score_gemma":0.00003123708,"domain_scores_codex":[0.9994782,0.000003948225,0.0001760261,0.0001074527,0.0001088774,0.0001254663],"domain_scores_gemma":[0.9994318,0.00007195944,0.00006368828,0.0003460907,0.00004927814,0.0000371462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001623269,0.00002104253,0.00003917304,0.00003471673,0.00001945772,3.731854e-7,0.00009657144,0.01573854,0.001383542,0.01619848,0.0001043192,0.9663476],"study_design_scores_gemma":[0.0003666422,0.00007820097,0.005520914,0.00008375174,0.00001139288,6.690425e-7,0.00004405774,0.988986,0.001561516,0.003190988,0.00005652257,0.00009937687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692838,0.00001120758,0.02877153,0.00008498046,0.0002392265,0.0002156933,0.00002538627,0.00009158164,0.001276634],"genre_scores_gemma":[0.9977892,0.00001466179,0.001916458,0.00001520605,0.00003199883,0.00002414305,0.00004115716,0.00002428174,0.0001428747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9732474,"threshold_uncertainty_score":0.3577237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681120379147844,"score_gpt":0.2857569439268754,"score_spread":0.258945740135397,"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."}}