{"id":"W2097672823","doi":"10.1007/978-3-540-77457-0_52","title":"Grasp Recognition and Manipulation with the Tango","year":2008,"lang":"en","type":"book-chapter","venue":"Springer tracts in advanced robotics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"GRASP; Computer science; Avatar; Human–computer interaction; Computer vision; 3D interaction; Haptic technology; Artificial intelligence; Interface (matter); Invariant (physics); Virtual reality; Mathematics","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":[0.0002069121,0.0007364324,0.0008974159,0.0008578668,0.0004752557,0.001459824,0.0009064361,0.0007223843,0.01629055],"category_scores_gemma":[0.0005852643,0.0004964718,0.0005675574,0.0008785428,0.0008324371,0.002008532,0.001138825,0.0006385627,0.003492852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553734,"about_ca_system_score_gemma":0.0004241299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177347,"about_ca_topic_score_gemma":0.001611578,"domain_scores_codex":[0.9997429,0.00001508332,0.00002028789,0.00008598347,0.0001125965,0.00002315002],"domain_scores_gemma":[0.9998044,0.00005987791,0.00002095478,0.00005891053,0.00003383915,0.00002201718],"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":[0.0003083157,0.00003348049,0.0006854192,0.0005376952,0.00004834285,0.0003260313,0.0002730104,0.009017046,0.09588579,0.02928861,0.01092168,0.8526745],"study_design_scores_gemma":[0.0001153606,0.0006127794,0.005374402,0.0005141057,0.0001712237,0.004270577,0.0003133111,0.4193943,0.1770715,0.1048362,0.2870518,0.000274406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02077882,0.005933353,0.9212881,0.0002786786,0.0004696729,0.00008470871,0.0003381608,0.00821969,0.0426088],"genre_scores_gemma":[0.2824329,0.004170634,0.6300282,0.0002520541,0.000193857,0.0001799074,0.0008634609,0.001164127,0.08071483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01629055,"threshold_uncertainty_score":0.0544973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957955666140511,"score_gpt":0.2280904766958764,"score_spread":0.1885109200344713,"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."}}