{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006155222,0.0001042509,0.00007943191,0.0001975276,0.0002442653,0.00006051742,0.0006489647,0.000052972,0.00003162773],"category_scores_gemma":[0.00001445215,0.00009545389,0.0001242169,0.000486574,0.00004047956,0.0004762847,0.000007900229,0.0002256934,0.0001816467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002940088,"about_ca_system_score_gemma":0.0000407704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000263388,"about_ca_topic_score_gemma":0.0000156295,"domain_scores_codex":[0.9992673,0.00001808432,0.0001089468,0.0002449801,0.000183666,0.0001769701],"domain_scores_gemma":[0.9991183,0.00007018614,0.00002797512,0.0006332262,0.0000848422,0.00006544841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000131609,0.002350891,0.0001775944,0.00003316581,0.000363088,0.0001295181,0.004712445,0.006348708,0.05082194,0.8657129,0.001500767,0.06771735],"study_design_scores_gemma":[0.004243499,0.001886593,0.02166583,0.0002068768,0.00008204036,0.0001821854,0.0004537728,0.001549888,0.5144945,0.4232764,0.03057432,0.001384098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008799366,0.00002111575,0.9858035,0.003559997,0.0004469024,0.00007113937,0.000005277832,0.00004183817,0.001250852],"genre_scores_gemma":[0.9887487,0.0000611678,0.008732134,0.002349576,0.00001440485,0.000009943631,0.000001324691,0.000006981621,0.00007574316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9799494,"threshold_uncertainty_score":0.3892497,"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."}}