{"id":"W2027164646","doi":"10.1145/985692.985749","title":"Pointing at trivariate targets in 3D environments","year":2004,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Movement (music); Bivariate analysis; Dimension (graph theory); Computer science; Artificial intelligence; Computer vision; Simulation; Mathematics; Machine learning; Physics","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":[0.001255285,0.0008911734,0.0009819421,0.0005249802,0.0003528732,0.001185105,0.0006823036,0.001033127,0.001532214],"category_scores_gemma":[0.01091876,0.0004163313,0.0006821745,0.0008533635,0.0007145488,0.001394382,0.001140044,0.0006980035,0.0005281088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049161,"about_ca_system_score_gemma":0.0003609402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685193,"about_ca_topic_score_gemma":0.001540032,"domain_scores_codex":[0.9986899,0.0005435245,0.00007113727,0.0002643103,0.0003151654,0.0001159201],"domain_scores_gemma":[0.9845273,0.01214626,0.001319513,0.001117719,0.0005823936,0.000306802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001987077,0.0006372358,0.01979617,0.0005416633,0.0002912569,0.0004871333,0.001645513,0.7018388,0.1858601,0.005061093,0.0007479771,0.08110593],"study_design_scores_gemma":[0.00008098505,0.001446128,0.01912335,0.00003621002,0.00008135352,0.0004617711,0.0002475003,0.9493828,0.02374418,0.00459622,0.0006847854,0.0001147205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174798,0.0002613187,0.1801761,0.00008531874,0.00002121792,0.00004136769,0.0001399179,0.0005074978,0.00128737],"genre_scores_gemma":[0.9660069,0.0003033054,0.03277663,0.00002512935,0.00001263922,0.00004448496,0.0001458714,0.00006591911,0.0006191178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001685193,"threshold_uncertainty_score":0.006638706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008068522433322144,"score_gpt":0.2239689168823249,"score_spread":0.2159003944490028,"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."}}