{"id":"W1556896368","doi":"10.1007/978-3-642-11876-0","title":"RoboCup 2009: Robot Soccer World Cup XIII","year":2010,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Artificial intelligence; Robot; Humanoid robot; Computer vision; Particle filter; Simulation; Kalman filter","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":[0.0002480266,0.002435618,0.001171169,0.001129081,0.0007934939,0.00237539,0.001788217,0.0007742945,0.1636372],"category_scores_gemma":[0.0005644404,0.0006661752,0.0005564725,0.001759657,0.0002697676,0.002057778,0.001348774,0.001758071,0.1442704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008196352,"about_ca_system_score_gemma":0.001078284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003982204,"about_ca_topic_score_gemma":0.00983858,"domain_scores_codex":[0.9997693,0.00000998646,0.000008754392,0.00005432577,0.0001362095,0.0000214893],"domain_scores_gemma":[0.9997067,0.00002502698,0.00001140842,0.00002673105,0.0001561779,0.0000739877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006780968,0.00003968551,0.00006408242,0.0002281011,0.000008694558,0.00003290888,0.00002247138,0.0007691266,0.001708672,0.001603628,0.8086793,0.1867755],"study_design_scores_gemma":[0.00001340006,0.00007111984,0.0006516232,0.0001612932,0.00001260258,0.000219429,0.00003092558,0.0023971,0.002213158,0.001899446,0.9923064,0.00002357033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00725131,0.05286791,0.1190552,0.002973046,0.01945822,0.0004536298,0.01481298,0.02436635,0.7587613],"genre_scores_gemma":[0.006071323,0.008703215,0.01211804,0.0004061019,0.0008859733,0.0001117383,0.01080528,0.003288494,0.9576099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1636372,"threshold_uncertainty_score":0.5474209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009046672749332588,"score_gpt":0.2189738793176141,"score_spread":0.2099272065682815,"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."}}