{"id":"W2072717843","doi":"10.7210/jrsj.30.367","title":"Development of Humanoid Robots in HUBO Laboratory, KAIST","year":2012,"lang":"en","type":"article","venue":"Journal of the Robotics Society of Japan","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanoid robot; Robot; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144348,0.0007043345,0.0004874,0.0006686909,0.001174301,0.0003590743,0.0008019285,0.0004622877,0.007458313],"category_scores_gemma":[0.000519892,0.0003930703,0.000468863,0.0003201423,0.0004652982,0.0006006156,0.001108423,0.0006858194,0.002868023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005341982,"about_ca_system_score_gemma":0.00235757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003389956,"about_ca_topic_score_gemma":0.004663356,"domain_scores_codex":[0.9996277,0.00005814001,0.00001405606,0.0001047733,0.0001242928,0.00007104264],"domain_scores_gemma":[0.9994071,0.00004379262,0.00002104612,0.00008492021,0.000190206,0.000252926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00137229,0.0005474758,0.007921133,0.000367513,0.00005644127,0.000911503,0.001886864,0.007888864,0.7551274,0.006226643,0.01160607,0.2060878],"study_design_scores_gemma":[0.000827281,0.007515674,0.03676109,0.000134727,0.0002126459,0.002111598,0.001110463,0.04394277,0.6447175,0.002597216,0.2598759,0.0001932038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4930393,0.001198414,0.4538223,0.0008844438,0.0007335185,0.002631476,0.002310015,0.01159003,0.03379046],"genre_scores_gemma":[0.4644102,0.0007014205,0.4830184,0.0001169679,0.00006608326,0.001615082,0.003386027,0.0008175753,0.04586819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007458313,"threshold_uncertainty_score":0.0249505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328543324835645,"score_gpt":0.2193485854207261,"score_spread":0.2060631521723696,"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."}}