{"id":"W4242601191","doi":"10.1145/1186562.1015788","title":"VisionWand","year":2004,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affordance; Computer science; Exploit; Human–computer interaction; Gesture; Set (abstract data type); Interface (matter); Variety (cybernetics); 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":[0.0003590872,0.001147885,0.0007078262,0.001780075,0.0009636979,0.003319522,0.001293656,0.001637166,0.1330067],"category_scores_gemma":[0.001164566,0.0004887794,0.0006747954,0.001220305,0.0004510053,0.002034449,0.002289829,0.001442527,0.1048335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007554553,"about_ca_system_score_gemma":0.001102101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003544925,"about_ca_topic_score_gemma":0.003499002,"domain_scores_codex":[0.9993809,0.0000350734,0.00002942489,0.0002173061,0.0002462145,0.00009095612],"domain_scores_gemma":[0.9996107,0.00002714823,0.00001614028,0.0001049921,0.0001903967,0.00005066379],"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":[0.000378301,0.00009955946,0.0008501714,0.0005209885,0.00004418632,0.0002756623,0.0002079457,0.001355783,0.04326129,0.03303973,0.2395902,0.6803763],"study_design_scores_gemma":[0.00006240033,0.00009275659,0.001654375,0.00008778717,0.00002732187,0.0008958456,0.0001041742,0.00969113,0.0178322,0.01305721,0.9564444,0.00005036427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01084245,0.004666661,0.3093508,0.002108914,0.002340005,0.0006089181,0.01072663,0.04689437,0.6124613],"genre_scores_gemma":[0.1560837,0.004770427,0.2333471,0.003324006,0.0004572112,0.001006181,0.04163043,0.006970067,0.5524109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1330067,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00660827262459195,"score_gpt":0.2398553658000063,"score_spread":0.2332470931754143,"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."}}