{"id":"W4285689403","doi":"10.5383/juspn.12.02.004","title":"iKarate: Karate Kata Aiding System","year":2020,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Martial arts; Block (permutation group theory); Computer science; Artificial intelligence; Human–computer interaction; Visual arts; Mathematics; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002227143,0.001073292,0.0009545903,0.0005704606,0.0005311544,0.0006555976,0.001320346,0.0007245429,0.02613327],"category_scores_gemma":[0.0005074607,0.0003044577,0.0003966376,0.0003359403,0.0001956283,0.0007513486,0.002197211,0.0005342578,0.01882741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002736397,"about_ca_system_score_gemma":0.0007106639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003624836,"about_ca_topic_score_gemma":0.00461362,"domain_scores_codex":[0.9997812,0.00001465463,0.00001978712,0.00007120312,0.00007056887,0.00004257778],"domain_scores_gemma":[0.9998889,0.000009187888,0.000008290194,0.00001834353,0.00004885446,0.0000263804],"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":[0.004272339,0.0006691771,0.01441662,0.001621451,0.0002048392,0.001788798,0.0008804489,0.005254,0.1092866,0.002606123,0.2878641,0.5711355],"study_design_scores_gemma":[0.0009872887,0.002255274,0.05902432,0.0005333719,0.0006566182,0.006363248,0.001483122,0.2472455,0.1256144,0.005646237,0.5494128,0.0007777682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.1968799,0.003068938,0.2781594,0.0008494435,0.001209741,0.00218012,0.03525546,0.3584579,0.1239392],"genre_scores_gemma":[0.6994663,0.001242941,0.1444961,0.0009118067,0.0001278505,0.00178941,0.04652141,0.001666241,0.1037779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02613327,"threshold_uncertainty_score":0.08742452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441848350080007,"score_gpt":0.2171009982703628,"score_spread":0.1926825147695627,"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."}}