{"id":"W160311112","doi":"10.11575/prism/30630","title":"A Comparison of Ray Pointing Techniques for Very Large Displays","year":2009,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada","keywords":"Parallax; Ray tracing (physics); Computer science; Computer vision; Computer graphics (images); Fitts's law; Artificial intelligence; Stereo display; Optics; Physics; Movement (music)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002980202,0.00005708556,0.0001218838,0.00005572825,0.00008874499,0.00001697844,0.00008405583,0.00002930993,0.00006373632],"category_scores_gemma":[0.0002470907,0.00004817326,0.00006919212,0.00008039092,0.000012838,0.0001471576,0.000009871123,0.00006988023,0.00001027678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008792863,"about_ca_system_score_gemma":0.00000683852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004143632,"about_ca_topic_score_gemma":0.00000381517,"domain_scores_codex":[0.9994568,0.00001655625,0.0001753338,0.0001344875,0.00007347644,0.0001433826],"domain_scores_gemma":[0.9995273,0.0002319278,0.00007308766,0.0001203858,0.0000242686,0.00002306066],"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":[0.0000272377,0.0002012803,0.000468108,0.000005562083,9.853519e-7,5.499829e-7,0.0001709327,0.000003496484,0.9832774,0.008982066,0.003670698,0.003191669],"study_design_scores_gemma":[0.00009287486,0.000142618,0.0005330514,0.00001145475,0.000004401515,0.000002961327,0.0001435744,0.002196682,0.9728732,0.0002605635,0.02368259,0.00005599222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8359997,0.000005035592,0.07630009,0.001142595,0.0002675788,0.0005024932,0.00004001025,0.0003324172,0.08541011],"genre_scores_gemma":[0.9959562,0.000002091602,0.001854352,0.0006514063,0.00003763963,0.000006599147,0.000001177543,0.000004461742,0.001486106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1599565,"threshold_uncertainty_score":0.1964449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05933874266100343,"score_gpt":0.3814245099771531,"score_spread":0.3220857673161497,"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."}}