{"id":"W2156968214","doi":"10.1177/0278364913498122","title":"Foot–terrain interaction mechanics for legged robots: Modeling and experimental validation","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Terrain; Displacement (psychology); Robot; Computer science; Terrestrial locomotion; Foot (prosody); Fidelity; Simulation; Artificial intelligence; Geology; 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":[0.001036434,0.00008059531,0.0001016607,0.0002045224,0.00008705132,0.0002419771,0.0003873566,0.00005067473,0.00001901472],"category_scores_gemma":[0.0001301443,0.00006319179,0.00005809213,0.0000713615,0.00001475086,0.0003137926,0.00008770596,0.0003451885,0.000006540223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078695,"about_ca_system_score_gemma":0.00002764196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002779038,"about_ca_topic_score_gemma":0.000003847632,"domain_scores_codex":[0.9988427,0.00004772344,0.0003048607,0.00007820749,0.0005552254,0.0001713059],"domain_scores_gemma":[0.9987703,0.0001922071,0.00006160148,0.00009312004,0.000822302,0.00006048009],"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":[0.00004119244,0.00002880538,0.00000473998,0.0000080195,0.0001041921,0.000001545394,0.0004585029,0.9658499,0.02122831,0.005940822,0.0003287497,0.006005171],"study_design_scores_gemma":[0.0003711413,0.00008747228,0.000003306025,0.00004329779,0.000006274994,0.00005388723,0.001305262,0.9844724,0.006037767,0.007488661,0.00006923108,0.00006129091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5667996,0.0002146622,0.4293589,0.001838198,0.001357681,0.0002803649,0.000003621381,0.00001946715,0.0001274639],"genre_scores_gemma":[0.9958839,0.0001589521,0.003551211,0.00002767325,0.0003024834,0.00001710869,0.000004709037,0.00002445979,0.00002948651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290842,"threshold_uncertainty_score":0.2576886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07800501434990015,"score_gpt":0.3673654443441043,"score_spread":0.2893604299942041,"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."}}