{"id":"W4285788268","doi":"10.48550/arxiv.1909.02385","title":"NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer\\n Competitions","year":2019,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Tournament; Humanoid robot; Perception; Computer science; Artificial intelligence; Robot; Human–computer interaction; Software; Multimedia; Psychology; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008265029,0.001054136,0.0005073231,0.0004509819,0.0008254652,0.001255975,0.0008488067,0.000894467,0.01956152],"category_scores_gemma":[0.001118268,0.0002750362,0.0004214445,0.000152794,0.0005845181,0.0005663888,0.002307354,0.001094491,0.006112315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008701505,"about_ca_system_score_gemma":0.0008527223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007941781,"about_ca_topic_score_gemma":0.02330803,"domain_scores_codex":[0.999284,0.0000472311,0.00001162257,0.0001119832,0.0004302383,0.0001148746],"domain_scores_gemma":[0.9996787,0.00002465909,0.000009501606,0.00004377764,0.0001145513,0.0001287694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001020984,0.0005208636,0.001852295,0.0002554077,0.00007862241,0.0005355621,0.0005358526,0.01744619,0.0972269,0.01583503,0.2397686,0.6249238],"study_design_scores_gemma":[0.0002617282,0.001701877,0.01152254,0.0001646706,0.00004146075,0.0005883285,0.0004681674,0.1512196,0.05548003,0.01001868,0.7683997,0.000133251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2132811,0.001700219,0.4646373,0.006512039,0.005858539,0.001106124,0.003020183,0.03855025,0.2653342],"genre_scores_gemma":[0.4777386,0.0007280056,0.2631966,0.001067364,0.0004073278,0.0007617198,0.006360909,0.003028281,0.2467111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01956152,"threshold_uncertainty_score":0.06543982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04783814751694827,"score_gpt":0.1656002731301666,"score_spread":0.1177621256132183,"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."}}