{"id":"W2126286017","doi":"10.1109/aim.2010.5695770","title":"Design of a 13 degree-of-freedom biped robot with a CAN-based distributed digital control system","year":2010,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Modular design; Microcontroller; Actuator; Computer science; Robot; CAN bus; Embedded system; Control engineering; Digital control; Control system; Harmonic drive; Computer hardware; Engineering; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009461398,0.0001676683,0.0003538997,0.00007437562,0.00001936148,0.00003051946,0.000168371,0.00008354304,0.00004662758],"category_scores_gemma":[0.00003123427,0.000123412,0.00006484907,0.0001728091,0.00006435969,0.00006663626,0.000005527972,0.000124644,0.00000724811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002839347,"about_ca_system_score_gemma":0.00006936293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008871937,"about_ca_topic_score_gemma":0.00009925824,"domain_scores_codex":[0.9991505,0.00002035196,0.0003132196,0.0001220805,0.0001877361,0.0002061571],"domain_scores_gemma":[0.9992362,0.0001486089,0.0000705671,0.0003105178,0.0001292768,0.0001047968],"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":[0.00009487293,0.00005207195,0.001241924,0.0001093674,0.0001180139,0.00000713859,0.00002113352,0.9810693,0.01576023,0.0006311347,0.00008905517,0.0008057472],"study_design_scores_gemma":[0.003993151,0.0001306445,0.001092963,0.00005381422,0.00005441462,0.000009724132,0.0000574551,0.9914642,0.002957741,0.000003384634,0.00002049223,0.0001620416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008185756,0.00001346848,0.9896156,0.00006001027,0.0001342321,0.000456571,0.00008313934,0.0002829542,0.001168318],"genre_scores_gemma":[0.9936313,1.653543e-7,0.006214796,0.000007374968,0.00002510858,0.00003706766,0.00001715112,0.00002589001,0.00004114025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9854456,"threshold_uncertainty_score":0.5032597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009893167312629179,"score_gpt":0.1739233247297106,"score_spread":0.1640301574170814,"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."}}