{"id":"W2598505148","doi":"","title":"RoboCup 2009: Robot Soccer World Cup XIII - Preface","year":2010,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Artificial intelligence; Computer science","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":[0.0003656025,0.0002264668,0.0001947173,0.000285087,0.0001332415,0.0002154268,0.0009182175,0.00008946911,0.0001551905],"category_scores_gemma":[0.00005522126,0.0001956037,0.00004882635,0.001221929,0.0002610963,0.0003256143,0.0001676641,0.0006654414,0.00007768995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005281579,"about_ca_system_score_gemma":0.00005903127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004750826,"about_ca_topic_score_gemma":0.0007543907,"domain_scores_codex":[0.9983461,0.000014204,0.0002396311,0.000477343,0.0003534493,0.0005693097],"domain_scores_gemma":[0.9990714,0.0001099463,0.00002854349,0.0005894012,0.00006242446,0.0001382659],"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":[0.000001091867,0.00001387216,0.0009705469,0.00001039462,0.00000251121,0.000007265643,0.0002461066,0.7558696,0.01816166,0.0001255745,0.00005464873,0.2245367],"study_design_scores_gemma":[0.00008515595,0.00001975979,0.003776008,0.00003078023,0.0000023732,0.00001779667,1.945017e-7,0.8968343,0.0955564,0.002450793,0.000921144,0.0003052788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04345801,0.0001656715,0.9528758,0.000258244,0.002668938,0.0001505619,0.000001418078,0.0002079592,0.0002133963],"genre_scores_gemma":[0.8354843,0.0000090355,0.1638475,0.0003339925,0.000285041,0.000006660295,8.823021e-7,0.00001874323,0.00001390032],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7920263,"threshold_uncertainty_score":0.7976488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053824765603681,"score_gpt":0.2374458947205791,"score_spread":0.2269076470645423,"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."}}