{"id":"W2541570138","doi":"10.1109/icat.2006.68","title":"Hand Gesture Interaction for Virtual Training of SPG","year":2006,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Gesture; Computer science; Wired glove; Virtual reality; Human–computer interaction; Interface (matter); Interaction technique; Gesture recognition; Training (meteorology); Artillery; Virtual machine; Artificial intelligence; Simulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001815969,0.00006110429,0.0001230098,0.00006665695,0.00004527541,0.00006811484,0.0001483868,0.0000451835,0.0000113273],"category_scores_gemma":[0.00002175143,0.00004871856,0.00005410547,0.0001146868,0.00001529322,0.0002479553,0.00002029058,0.00004048972,0.00001184631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001035216,"about_ca_system_score_gemma":0.00002147092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003593463,"about_ca_topic_score_gemma":0.00006357632,"domain_scores_codex":[0.9993998,0.00002035403,0.0002177284,0.000149609,0.000107539,0.0001049936],"domain_scores_gemma":[0.9995388,0.0001222635,0.00009152902,0.0001247708,0.0001000744,0.00002249954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004492776,0.0002294443,0.0007128525,0.0001000647,0.00006479566,0.000006201254,0.006551603,0.0006123851,0.07122441,0.2527665,0.02119764,0.6464891],"study_design_scores_gemma":[0.005523081,0.001554882,0.01338889,0.0003982312,0.00004719301,0.0003257839,0.00361395,0.1001101,0.3864556,0.02213905,0.4652413,0.001201962],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02471142,0.00002019106,0.9632223,0.0003315416,0.0005625483,0.0001444559,0.000002787053,0.00005741114,0.01094738],"genre_scores_gemma":[0.9834509,3.649085e-7,0.01499739,0.00006529009,0.0001932036,0.00001541642,0.000004413466,0.000003830495,0.001269114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9587396,"threshold_uncertainty_score":0.1986685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257942971522361,"score_gpt":0.2643970724341596,"score_spread":0.231817642718936,"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."}}