{"id":"W2331476154","doi":"10.1109/icrom.2014.6990922","title":"System identification of a humanoid robot power transmission system","year":2014,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Humanoid robot; Identification (biology); Computer science; Transmission (telecommunications); Robot; Transmission system; Artificial intelligence; Telecommunications","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":[0.0003150036,0.0004267417,0.000408362,0.0002940429,0.0004729038,0.0006093683,0.0003495375,0.0006223132,0.002540312],"category_scores_gemma":[0.0008536014,0.0002230556,0.0002692988,0.0002911213,0.0003014719,0.0004201164,0.0003857536,0.0005056772,0.0004865067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702312,"about_ca_system_score_gemma":0.0006406521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008178327,"about_ca_topic_score_gemma":0.003629585,"domain_scores_codex":[0.9998019,0.00005262609,0.00001069788,0.00006216227,0.00005645966,0.0000160631],"domain_scores_gemma":[0.9997802,0.00008155571,0.00004679837,0.00002244811,0.00006113999,0.000007771417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001924814,0.00005908151,0.002536457,0.0004790851,0.00007920786,0.001162397,0.000743227,0.8457986,0.02669052,0.01152568,0.001854126,0.1088791],"study_design_scores_gemma":[0.00001539364,0.0001024121,0.001044211,0.00002922158,0.00001620975,0.0002396226,0.00008272254,0.9904996,0.003169693,0.001875347,0.002907565,0.00001808584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0662709,0.000279427,0.9233517,0.0002175036,0.00006185802,0.0001385919,0.0001649138,0.0008806032,0.008634535],"genre_scores_gemma":[0.9460853,0.0002276924,0.04798047,0.00004508028,0.00001550083,0.0001666376,0.000140283,0.00002750761,0.005311644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008178327,"threshold_uncertainty_score":0.01626146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003853419865688794,"score_gpt":0.1758254566527353,"score_spread":0.1719720367870465,"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."}}