{"id":"W2103058607","doi":"10.1109/iscas.2005.1465759","title":"A 3D Mouse for Interacting with Virtual Objects","year":2005,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Position (finance); Transducer; Position sensor; SIGNAL (programming language); Actuator; Computer science; Graphics; Surface (topology); Acoustics; Computer vision; Artificial intelligence; Computer graphics (images); Physics; Angular displacement","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":[0.00006390446,0.0000929829,0.00008428442,0.00005794906,0.00008331204,0.00009914365,0.0003067289,0.00001932798,0.00003653811],"category_scores_gemma":[0.00004776457,0.00006805491,0.00004194065,0.00008513453,0.00001197481,0.001087268,0.00007594618,0.00007419397,0.0001230864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003840465,"about_ca_system_score_gemma":0.00003210574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001403059,"about_ca_topic_score_gemma":0.00004428525,"domain_scores_codex":[0.9993572,0.00001224658,0.00009538802,0.0002308102,0.00009292003,0.000211501],"domain_scores_gemma":[0.9994034,0.0001875071,0.00004911451,0.0001946792,0.0001214801,0.00004388083],"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":[0.0007509393,0.0009020351,0.000696368,0.00003932617,0.000381433,0.00003322515,0.02538531,0.002050277,0.4013514,0.3058365,0.0529371,0.2096361],"study_design_scores_gemma":[0.001389504,0.001533617,0.0002550722,0.00005236218,0.0000116574,0.00005768758,0.001886945,0.1804973,0.7865624,0.0000515242,0.02724247,0.0004594527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04683452,0.000004019397,0.923952,0.0006214674,0.0001603626,0.0001550647,0.000001474079,0.00003632109,0.02823472],"genre_scores_gemma":[0.9267331,5.50232e-7,0.06603221,0.001783233,0.00009502289,0.00002040993,0.00000186574,0.000007389526,0.00532622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8798986,"threshold_uncertainty_score":0.2775199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012874647898909,"score_gpt":0.2525635301738611,"score_spread":0.242434783694872,"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."}}