{"id":"W1989450868","doi":"10.1145/1029632.1029644","title":"Multi-finger gestural interaction with 3d volumetric displays","year":2004,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Computer science; 3D interaction; Leverage (statistics); Visualization; Computer graphics (images); Computer vision; Virtual reality; Stereo display; Artificial intelligence; Volume rendering; Human–computer interaction","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":[0.0003389828,0.0006332247,0.0004278665,0.0003203933,0.0002510338,0.0009141023,0.0009611598,0.0006185928,0.004954091],"category_scores_gemma":[0.002130546,0.0002941231,0.0004683801,0.0003082931,0.000438502,0.001072331,0.002318278,0.0004293394,0.000723235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278501,"about_ca_system_score_gemma":0.0001064094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167264,"about_ca_topic_score_gemma":0.0005355987,"domain_scores_codex":[0.9995657,0.0001008874,0.00002212228,0.00005736519,0.0002052384,0.00004874444],"domain_scores_gemma":[0.9989743,0.000603375,0.00009366691,0.0001995801,0.00006749599,0.00006152764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003393056,0.00005759601,0.0008039038,0.0002300668,0.00004309379,0.0006534389,0.0008606619,0.01123245,0.7919061,0.00734706,0.001839983,0.1846865],"study_design_scores_gemma":[0.0001846158,0.001208644,0.0116085,0.0002159209,0.0001669369,0.006302412,0.0007459399,0.3113776,0.578064,0.02357946,0.06622505,0.0003207987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1184585,0.0005443732,0.8694735,0.0001710187,0.00005802035,0.00004980567,0.0001163581,0.002751483,0.008376904],"genre_scores_gemma":[0.7447369,0.0005943816,0.2475143,0.0001511348,0.0000554791,0.0001108075,0.0001597707,0.0003061964,0.006371121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004954091,"threshold_uncertainty_score":0.01657313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162609753790209,"score_gpt":0.257325271265424,"score_spread":0.2410642958864031,"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."}}