{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002092246,0.00002869968,0.00002604987,0.00002184982,0.00003382787,0.00003316975,0.0002041952,0.000008639398,0.00005593384],"category_scores_gemma":[0.000006055015,0.00002156143,0.00002128308,0.00006876005,0.000005954209,0.0003306838,0.00005454859,0.00002557633,0.0007019412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001270859,"about_ca_system_score_gemma":0.00001510666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001726358,"about_ca_topic_score_gemma":0.000001316219,"domain_scores_codex":[0.9997417,0.000003143,0.00003450895,0.00009115272,0.00005596696,0.00007356544],"domain_scores_gemma":[0.9998062,0.000007530664,0.000007950262,0.0001261388,0.00002973959,0.00002248595],"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":[0.000001276599,0.00003116324,0.00005363745,5.815878e-7,0.000004107922,0.000009342793,0.0002606568,0.00002614603,0.03972428,0.9559684,0.002046756,0.00187369],"study_design_scores_gemma":[0.0009356327,0.000207294,0.02648258,0.00001709758,0.000002159667,0.00004382348,0.0001305761,0.0007879885,0.8766502,0.0630879,0.03139048,0.000264335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01032597,0.000008540919,0.8662291,0.001225724,0.0001506331,0.00001863076,1.067467e-7,0.00001291461,0.1220284],"genre_scores_gemma":[0.9878361,0.000001287911,0.009960897,0.001567596,0.00001338812,8.057762e-7,2.290439e-7,0.000001059484,0.0006186078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9775102,"threshold_uncertainty_score":0.9022268,"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."}}