{"id":"W2414011888","doi":"10.1007/978-3-319-68792-6_28","title":"Robots as Individuals in the Humanoid League","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Robot; League; Humanoid robot; Competition (biology); Computer science; Field (mathematics); Scheme (mathematics); Artificial intelligence; Point (geometry); Focus (optics); Ranking (information retrieval); Human–computer interaction; Mathematics","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","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002932467,0.0006591812,0.0006721119,0.0009806134,0.0006358003,0.001740498,0.013173,0.0004437978,0.00001211884],"category_scores_gemma":[0.0003612893,0.000500414,0.0001450756,0.0003906599,0.001007791,0.000873655,0.002071488,0.001685673,0.000209892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298301,"about_ca_system_score_gemma":0.0008849459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160583,"about_ca_topic_score_gemma":0.00006556743,"domain_scores_codex":[0.9946699,0.0001157195,0.0006351601,0.001839308,0.001754411,0.0009855465],"domain_scores_gemma":[0.9947898,0.0009179463,0.0005332176,0.003470347,0.0001432899,0.0001454261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004135031,0.0001010738,0.001061185,0.00005661228,0.00002700721,0.001799463,0.009704662,0.2192244,0.00004367966,0.04416187,0.0003402586,0.7234756],"study_design_scores_gemma":[0.0008807685,0.0005130045,0.008306148,0.001687203,0.00002119417,0.0008800161,0.000001176498,0.4385271,0.0003943754,0.5433369,0.003343467,0.002108703],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008046824,0.00044298,0.9774842,0.002032612,0.00216166,0.0005443587,0.000003955686,0.0001254564,0.01712435],"genre_scores_gemma":[0.1255782,0.00005829284,0.8645564,0.006330518,0.00132987,0.00004460949,0.00001318277,0.00007598356,0.002012945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7213669,"threshold_uncertainty_score":0.9997448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316723841147458,"score_gpt":0.2856812481062277,"score_spread":0.2525140096947531,"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."}}