{"id":"W2081570653","doi":"10.1145/1179622.1179805","title":"UbiHand","year":2006,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Gesture; Gesture recognition; Computer vision; Wearable computer; Augmented reality; Artificial intelligence; Virtual reality; Interface (matter); Representation (politics); Wired glove; Human–computer interaction; Embedded system","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":[0.0005003411,0.001755524,0.00124149,0.002031707,0.001781257,0.004195969,0.001324914,0.001868899,0.6201538],"category_scores_gemma":[0.00107733,0.000431527,0.0004021897,0.002019843,0.0005001449,0.002789677,0.003565352,0.001407991,0.4582537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007304773,"about_ca_system_score_gemma":0.0009311004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278032,"about_ca_topic_score_gemma":0.00273247,"domain_scores_codex":[0.9992484,0.0000514008,0.00002809347,0.0002720547,0.000289939,0.0001100247],"domain_scores_gemma":[0.9993882,0.0001017866,0.00004228529,0.0001257539,0.0001777518,0.0001642123],"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":[0.0008298832,0.0002970584,0.00115659,0.0007004491,0.000031992,0.001037198,0.0002460548,0.0006659814,0.009842545,0.02582985,0.2913406,0.6680219],"study_design_scores_gemma":[0.00005263353,0.00008492891,0.00119445,0.0001530623,0.00001227433,0.0006221131,0.0001051409,0.0007697549,0.002946912,0.00404313,0.9899915,0.00002407418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004030399,0.005138269,0.00652742,0.001131766,0.0009490256,0.0001064829,0.005550685,0.007402033,0.969164],"genre_scores_gemma":[0.01790203,0.002704754,0.006351292,0.0004408716,0.0001598694,0.00009919304,0.007212065,0.001194897,0.963935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6201538,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006014770231459029,"score_gpt":0.1925565029987069,"score_spread":0.1865417327672479,"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."}}