{"id":"W2295921965","doi":"10.1016/j.mechmachtheory.2016.02.005","title":"Mobility evaluation of wheeled robots on soft terrain: Effect of internal force distribution","year":2016,"lang":"en","type":"article","venue":"Mechanism and Machine Theory","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Traction (geology); Robot; Tractive force; Maximization; Computer science; Simulation; Control theory (sociology); Engineering; Mechanical engineering; Mathematics; Mathematical optimization; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002621041,0.0002657854,0.000336812,0.0006114164,0.0003405025,0.0002945078,0.0002977137,0.0003325605,0.001032623],"category_scores_gemma":[0.001376457,0.000105001,0.0002224272,0.0002995007,0.000338962,0.0003221882,0.0003442265,0.0001436953,0.0001406888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898307,"about_ca_system_score_gemma":0.000218247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004464462,"about_ca_topic_score_gemma":0.003494089,"domain_scores_codex":[0.9998865,0.00003125897,0.000005476728,0.00001383164,0.00003184262,0.00003112671],"domain_scores_gemma":[0.9993396,0.0003330877,0.00007611445,0.00005210199,0.0001358179,0.0000631986],"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":[0.001520905,0.0002118409,0.0247,0.0002581473,0.00009108774,0.0008327133,0.0003822692,0.8444195,0.08254113,0.002868668,0.00050572,0.04166791],"study_design_scores_gemma":[0.00001340874,0.0002116872,0.007117088,0.00000907884,0.00001368205,0.00008582489,0.0002035869,0.983645,0.008192168,0.0003559027,0.0001406848,0.00001192016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988028,0.00007598518,0.01095227,0.00003166787,0.000006637922,0.00001035741,0.00004265175,0.00004304978,0.0008094066],"genre_scores_gemma":[0.9992126,0.00001865147,0.0006035915,0.000001149334,8.507406e-7,0.000002214557,0.00001641536,0.000002933923,0.0001415825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004464462,"threshold_uncertainty_score":0.00887692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0070096169671918,"score_gpt":0.2304297627094726,"score_spread":0.2234201457422808,"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."}}