{"id":"W2325558778","doi":"10.7210/jrsj.23.821","title":"Dynamic Gait Generation and Control based on Mechanical Energy Restoration","year":2005,"lang":"en","type":"article","venue":"Journal of the Robotics Society of Japan","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Swing; Gait; Control theory (sociology); Mechanical energy; Energy (signal processing); Computer science; Mechanical system; Simulation; Limit (mathematics); Engineering; Control (management); Mathematics; Artificial intelligence; Mechanical engineering; Physics; Power (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002593948,0.0003434524,0.0003031641,0.000338485,0.0001940627,0.0004625568,0.0004435325,0.0002901296,0.0007174676],"category_scores_gemma":[0.000490975,0.0001351056,0.0002402703,0.0002824315,0.0005238596,0.0004422577,0.0004251332,0.0002539948,0.0001134317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021875,"about_ca_system_score_gemma":0.000262553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004349084,"about_ca_topic_score_gemma":0.0003091743,"domain_scores_codex":[0.9998883,0.00002220532,0.000007749209,0.00002196618,0.00004574435,0.00001401902],"domain_scores_gemma":[0.9998966,0.00003100206,0.00002445414,0.00001448408,0.00002571434,0.00000772883],"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":[0.0001055234,0.00009175862,0.0003936333,0.0001824363,0.00003423571,0.0001757656,0.0001468676,0.5541732,0.05459422,0.2211038,0.0009013145,0.1680972],"study_design_scores_gemma":[0.00001608955,0.00007065688,0.0001406357,0.000008581311,0.000006367055,0.00004942646,0.00001003762,0.9781301,0.003575659,0.01682672,0.001158161,0.000007498598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02398159,0.0001704454,0.9721834,0.00006053429,0.00002475671,0.00002606138,0.000008413235,0.0001488857,0.003395804],"genre_scores_gemma":[0.9275784,0.0002332383,0.06983049,0.00004026525,0.00001865731,0.00009257541,0.00002544356,0.00002117572,0.002159805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007174676,"threshold_uncertainty_score":0.00240016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007950486812775801,"score_gpt":0.2010141409641468,"score_spread":0.193063654151371,"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."}}