{"id":"W2166540415","doi":"10.1145/1015706.1015788","title":"VisionWand","year":2004,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Affordance; Exploit; Human–computer interaction; Gesture; Set (abstract data type); Interface (matter); Variety (cybernetics); Multi-touch; Computer graphics (images); Artificial intelligence","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":[0.0003958277,0.001193765,0.0007490227,0.001796041,0.0009957915,0.003502328,0.001383227,0.001699076,0.1413985],"category_scores_gemma":[0.001344762,0.0005053053,0.000713523,0.001271876,0.000471255,0.002114354,0.002442286,0.001582628,0.1128804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007960921,"about_ca_system_score_gemma":0.001209256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003586064,"about_ca_topic_score_gemma":0.003403573,"domain_scores_codex":[0.9993039,0.00004009128,0.00003365775,0.0002457271,0.0002760856,0.0001003492],"domain_scores_gemma":[0.9995478,0.00003101656,0.00001782636,0.0001203793,0.0002266109,0.0000562965],"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":[0.0004001199,0.000105867,0.000862545,0.0005442951,0.00004529626,0.0002796471,0.0002142307,0.001477378,0.03815664,0.03456802,0.2593189,0.664027],"study_design_scores_gemma":[0.00006899352,0.00009541331,0.001530066,0.00009234934,0.00002812094,0.0008444904,0.0001067466,0.01045053,0.01609199,0.01436577,0.956274,0.00005146308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01030867,0.004516791,0.3158519,0.00227103,0.002608205,0.0006697337,0.01146754,0.04834583,0.6039603],"genre_scores_gemma":[0.1550598,0.004844276,0.2404679,0.003675185,0.0005325587,0.00116015,0.04499365,0.007828424,0.541438],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1413985,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629825666147952,"score_gpt":0.2631369769747068,"score_spread":0.2468387203132273,"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."}}