{"id":"W1503536476","doi":"10.1109/mra.2015.2448811","title":"Humanoid Robots in Soccer: Robots Versus Humans in RoboCup 2050","year":2015,"lang":"en","type":"article","venue":"IEEE Robotics & Automation Magazine","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Humanoid robot; Champion; League; Robot; Artificial intelligence; Benchmark (surveying); Computer science; Competition (biology); Human–computer interaction; Engineering; Geography","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":[0.0006498732,0.000495629,0.0002213123,0.001163451,0.002156134,0.004404109,0.0004056376,0.0007162335,0.006630357],"category_scores_gemma":[0.0008463815,0.0001173859,0.00012963,0.0007338543,0.002583936,0.002983996,0.002211425,0.001178267,0.001575889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535861,"about_ca_system_score_gemma":0.001303338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006109344,"about_ca_topic_score_gemma":0.01470795,"domain_scores_codex":[0.9995283,0.0001223906,0.00001706543,0.00005915833,0.0001518262,0.0001213146],"domain_scores_gemma":[0.9995659,0.00005092289,0.0000436922,0.0000104625,0.00009965589,0.0002293783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000671934,0.0002024445,0.011438,0.001120002,0.00003776888,0.0006751002,0.01066957,0.00210146,0.003312482,0.3663529,0.09251828,0.5109],"study_design_scores_gemma":[0.00001287115,0.0004903704,0.01374726,0.001243548,0.0000173347,0.001009269,0.01823143,0.0009140947,0.001842099,0.03935417,0.9230711,0.00006652024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1330523,0.1429726,0.01226387,0.02864757,0.006023326,0.00005956875,0.0003388354,0.0002043531,0.6764376],"genre_scores_gemma":[0.8326029,0.05196185,0.005771727,0.004809438,0.001905956,0.00007987948,0.0004659473,0.0001196086,0.1022826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006630357,"threshold_uncertainty_score":0.0221808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03376864925340134,"score_gpt":0.2627794691441306,"score_spread":0.2290108198907292,"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."}}