{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050398,0.0004186881,0.0005536448,0.0006215507,0.00005470532,0.000122299,0.0003580563,0.0002626953,0.0001051134],"category_scores_gemma":[0.00008676774,0.0004720472,0.0001074564,0.0007687438,0.00005519024,0.0005329091,0.00004106359,0.0004561466,0.001196474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006547015,"about_ca_system_score_gemma":0.00008614203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003742205,"about_ca_topic_score_gemma":0.0007888374,"domain_scores_codex":[0.9974232,0.0001241183,0.0009059094,0.0003950891,0.0004905087,0.0006611485],"domain_scores_gemma":[0.9989066,0.00009475678,0.0001142412,0.0005106928,0.0001294343,0.000244326],"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":[0.00003536826,0.0001233819,0.0006344534,0.00004780966,0.00002804172,0.00004262256,0.0004515549,0.9889036,0.001125422,0.001325403,0.004882554,0.002399728],"study_design_scores_gemma":[0.007549972,0.0001265198,0.02176007,0.00009818753,0.00003454645,0.0000101333,0.00007747012,0.9680627,0.0001675569,0.0007595498,0.000720433,0.0006328665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2273314,0.002418957,0.6401767,0.004693472,0.02145246,0.004558844,0.00003530797,0.006765664,0.09256715],"genre_scores_gemma":[0.9871043,0.00007524794,0.01109182,0.0001289912,0.0003078005,0.00007849347,0.00009211269,0.0001121178,0.001009101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7597729,"threshold_uncertainty_score":0.9997731,"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."}}