{"id":"W2062833884","doi":"10.1109/icces.2012.6408505","title":"Statistical vs. visual data generation in hand gesture recognition","year":2012,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Computer science; Gesture; Artificial intelligence; Gesture recognition; Synthetic data; Process (computing); Generalization; Machine learning; Pattern recognition (psychology); Training set","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005276459,0.0006575497,0.000567868,0.00104978,0.0002277196,0.001081493,0.001022055,0.001075713,0.0008535103],"category_scores_gemma":[0.02221045,0.0003387208,0.0005843003,0.001099231,0.0009260874,0.001412497,0.001316693,0.0006596243,0.0004491291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004311642,"about_ca_system_score_gemma":0.0004207537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333767,"about_ca_topic_score_gemma":0.001789792,"domain_scores_codex":[0.9963323,0.001762092,0.0002838855,0.0006506611,0.0008506016,0.0001203632],"domain_scores_gemma":[0.9884269,0.007852877,0.0004999629,0.001878423,0.001149154,0.000192662],"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":[0.001288619,0.000404169,0.008207317,0.0006128929,0.0001038498,0.0001882747,0.0002502771,0.2034557,0.03999913,0.003287653,0.002570311,0.7396318],"study_design_scores_gemma":[0.00009978808,0.001168224,0.008817983,0.00006650534,0.000048655,0.000560274,0.0002386648,0.9152636,0.06298022,0.005766018,0.004910611,0.0000795112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2665907,0.002803639,0.720381,0.0007497161,0.0002746356,0.0003649008,0.001205089,0.00422731,0.00340297],"genre_scores_gemma":[0.742987,0.0006961936,0.252172,0.0002218096,0.00007590752,0.0002794639,0.002446524,0.0002613548,0.0008597204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005276459,"threshold_uncertainty_score":0.02790493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053780479010591,"score_gpt":0.3305299659181652,"score_spread":0.2251519180171062,"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."}}