{"id":"W2140482473","doi":"10.1145/2470654.2470677","title":"Pointing at 3d target projections with one-eyed and stereo cursors","year":2013,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Fitts's law; Computer science; Computer vision; Cursor (databases); Artificial intelligence; Throughput; Plane (geometry); Constant (computer programming); 3D interaction; Computer graphics (images); Mathematics; Movement (music); Geometry; Virtual reality; Physics; Acoustics","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":[0.00004447149,0.00009037956,0.00008518843,0.0000673048,0.0001687946,0.0001364603,0.0001612114,0.00002111196,0.0002852604],"category_scores_gemma":[0.00001079577,0.00006561947,0.00002015449,0.000142059,0.00003286449,0.000995849,0.0001648803,0.00007547089,0.0002544296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002701484,"about_ca_system_score_gemma":0.00001778333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002906209,"about_ca_topic_score_gemma":0.00003121587,"domain_scores_codex":[0.9993366,0.00002398951,0.00008701868,0.0002498984,0.0001037536,0.0001987469],"domain_scores_gemma":[0.9995545,0.00003836617,0.00004574657,0.0001844246,0.0001235128,0.00005349395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001693388,0.001283015,0.2670342,0.0001987145,0.0009043223,0.0000537741,0.03478024,0.0001366774,0.4265796,0.1442062,0.1026208,0.02203313],"study_design_scores_gemma":[0.003094682,0.002049302,0.5424488,0.0002517574,0.00006006171,0.0003837128,0.004428672,0.1658216,0.2533032,0.002362976,0.02382433,0.00197095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6835259,0.0000203481,0.2363094,0.001710804,0.0001566049,0.0003895447,0.000001252294,0.00005442106,0.07783173],"genre_scores_gemma":[0.9484093,0.000002224855,0.04303181,0.0007980252,0.00002793734,0.00003214187,0.000001883272,0.000007069254,0.007689586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2754146,"threshold_uncertainty_score":0.3270263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970940026588379,"score_gpt":0.2113908240903549,"score_spread":0.2016814238244711,"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."}}