{"id":"W4409602093","doi":"10.1007/978-3-031-85859-8_26","title":"Event-Based Vision for Robot Soccer","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Event (particle physics); Machine vision; Robot vision; Robot; Computer graphics (images); Mobile robot","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":[0.0001425475,0.0005091359,0.0005385045,0.0003398518,0.0001632454,0.0007586936,0.0008806025,0.0006073794,0.008656311],"category_scores_gemma":[0.0002268689,0.0002961979,0.0004008099,0.0006385308,0.0002795844,0.0008153264,0.0005268669,0.0009016671,0.00208424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311368,"about_ca_system_score_gemma":0.0002301439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004445,"about_ca_topic_score_gemma":0.001882939,"domain_scores_codex":[0.9998974,0.00001317154,0.000004561918,0.00003015533,0.00003924911,0.00001556271],"domain_scores_gemma":[0.9999442,0.00002128451,0.000004257268,0.00000925174,0.00001586359,0.000005126027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002011865,0.0001361537,0.000115134,0.0003075584,0.00004845298,0.0000994366,0.00003336259,0.1153172,0.03484786,0.03562846,0.02253066,0.7907346],"study_design_scores_gemma":[0.00001984955,0.00008876298,0.0006107664,0.00004162595,0.0000204888,0.0002126965,0.00002453033,0.9021302,0.01348794,0.04906508,0.03427106,0.0000270222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003737673,0.003621126,0.9803821,0.0001398928,0.0003281894,0.00003039112,0.00014102,0.001697134,0.009922402],"genre_scores_gemma":[0.4145769,0.01068541,0.5100313,0.0003892583,0.0005785819,0.0001306341,0.001254631,0.0005747229,0.06177868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008656311,"threshold_uncertainty_score":0.02895826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752270907227293,"score_gpt":0.2865013538051415,"score_spread":0.2689786447328686,"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."}}