{"id":"W1970924458","doi":"10.1145/2441776.2441796","title":"KinectArms","year":2013,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gesture; Computer science; Visibility; Usability; Table (database); Set (abstract data type); Human–computer interaction; Gesture recognition; Artificial intelligence; Computer vision; Multimedia; Computer graphics (images); Database","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":[0.001257733,0.00138719,0.001527641,0.001020103,0.0006612782,0.001726983,0.002597898,0.001470989,0.08057187],"category_scores_gemma":[0.003260285,0.001213133,0.0008574111,0.001038551,0.0007753267,0.003186306,0.003335554,0.001576675,0.02673096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005057848,"about_ca_system_score_gemma":0.001391663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002466839,"about_ca_topic_score_gemma":0.00594163,"domain_scores_codex":[0.9983824,0.0001664031,0.0001090373,0.0003651133,0.0008678816,0.0001091915],"domain_scores_gemma":[0.9987741,0.0003831702,0.00008209612,0.000185342,0.0004014566,0.0001737557],"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":[0.005118462,0.0002546914,0.003955401,0.004655699,0.0002648371,0.0009038638,0.001805676,0.005222048,0.1638877,0.03862798,0.2697781,0.5055255],"study_design_scores_gemma":[0.000646457,0.0006715048,0.01175694,0.0006767908,0.0001846302,0.0019516,0.0004409923,0.04363031,0.09398817,0.009967933,0.8357152,0.0003693961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02742837,0.005986527,0.6236674,0.001043034,0.00100156,0.002134788,0.03790533,0.1375564,0.1632766],"genre_scores_gemma":[0.2327003,0.003802389,0.5392058,0.001365771,0.0001705169,0.003241454,0.04230112,0.02033052,0.156882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08057187,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004962829501545201,"score_gpt":0.2021659252625904,"score_spread":0.1972030957610452,"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."}}