{"id":"W4221004312","doi":"10.3390/act11030079","title":"Discussion on the Stiffness of the Drive Chain in the Legs of Biped Robots","year":2022,"lang":"en","type":"article","venue":"Actuators","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Robot; Stiffness; Workbench; Inertia; Work (physics); Joint stiffness; Computer science; Control theory (sociology); Simulation; Vibration; Engineering; Control engineering; Structural engineering; Mechanical engineering; Artificial intelligence; Physics","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":[0.0004586542,0.0004762178,0.000400249,0.0005308474,0.000540483,0.0008045093,0.0005594362,0.0007175643,0.002849414],"category_scores_gemma":[0.001056349,0.0002827287,0.0006687813,0.0003337863,0.000804576,0.001131179,0.0004354496,0.0005525703,0.000463851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003372449,"about_ca_system_score_gemma":0.0002566805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513969,"about_ca_topic_score_gemma":0.001118997,"domain_scores_codex":[0.9996865,0.00006540041,0.00002684975,0.00007132767,0.0001216176,0.00002830082],"domain_scores_gemma":[0.9992896,0.0004586826,0.00007288291,0.000048692,0.0001110444,0.00001898478],"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":[0.0002554463,0.0001412752,0.004454413,0.003742302,0.0001318915,0.003272463,0.001540636,0.3452368,0.328465,0.1783206,0.002367924,0.1320713],"study_design_scores_gemma":[0.00003618449,0.00077874,0.01260999,0.0009604904,0.0002036221,0.003088029,0.0008384788,0.7118688,0.1264615,0.04551782,0.09736169,0.0002747076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1358606,0.03769054,0.7783585,0.002202879,0.0007663725,0.0001033985,0.0002155311,0.0004118393,0.04439032],"genre_scores_gemma":[0.9376506,0.01501726,0.0307358,0.0003738963,0.0002396149,0.00007583815,0.00007999966,0.00009385728,0.015733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002849414,"threshold_uncertainty_score":0.009532213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007798145379710261,"score_gpt":0.189345005949556,"score_spread":0.1815468605698458,"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."}}