{"id":"W2761563727","doi":"10.1016/j.robot.2017.09.011","title":"Sinkage definition and visual detection for planetary rovers wheels on rough terrain based on wheel–soil interaction boundary","year":2017,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Terrain; Computer science; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001546644,0.0004020573,0.000594559,0.001187174,0.0003943073,0.0008509179,0.0007356927,0.0005704527,0.001214746],"category_scores_gemma":[0.0007519783,0.0002674805,0.0003832749,0.0003991946,0.0004525436,0.0008663144,0.001039971,0.0003757207,0.0004070094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002580635,"about_ca_system_score_gemma":0.0003985117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157412,"about_ca_topic_score_gemma":0.002797497,"domain_scores_codex":[0.9997769,0.00001782749,0.00001044734,0.00006990897,0.00006728168,0.00005753957],"domain_scores_gemma":[0.9997472,0.0000447434,0.00003815681,0.00002373846,0.000105283,0.00004093601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001149572,0.0003030334,0.04363414,0.000444565,0.00005768605,0.0009300802,0.0009910836,0.05912171,0.4521169,0.01348971,0.003103965,0.4246575],"study_design_scores_gemma":[0.00003135522,0.0001320444,0.02627758,0.0000546187,0.00002888667,0.0003720535,0.0003850478,0.91438,0.05198077,0.003430563,0.002871817,0.00005523908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3710879,0.0002774447,0.6244963,0.00007313463,0.00004732431,0.00006659148,0.0001458943,0.0009228668,0.002882539],"genre_scores_gemma":[0.9315098,0.00008287223,0.06721145,0.0000166217,0.00001144131,0.00003352395,0.00024494,0.00005149625,0.0008378347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002157412,"threshold_uncertainty_score":0.004289687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624385107164609,"score_gpt":0.2320088704217521,"score_spread":0.2157650193501061,"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."}}