{"id":"W2148884993","doi":"10.1145/1166253.1166286","title":"HybridPointing","year":2006,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Mitsubishi Electric Research Laboratories","keywords":"Cursor (databases); Computer science; Visual feedback; Input device; Interaction technique; Computer graphics (images); Computer vision; Human–computer interaction; Simulation; Computer hardware; Gesture","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":[0.0005247999,0.001211504,0.0006047642,0.0005832276,0.0005336908,0.001253195,0.001929704,0.0009980686,0.03412688],"category_scores_gemma":[0.002063388,0.000407283,0.0005474766,0.0005413998,0.0007056271,0.002704512,0.003283058,0.0008918819,0.005096101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651731,"about_ca_system_score_gemma":0.0002019224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004599151,"about_ca_topic_score_gemma":0.0005310529,"domain_scores_codex":[0.9994326,0.00008278414,0.00003092391,0.0001570185,0.000214527,0.00008200576],"domain_scores_gemma":[0.9987515,0.0004341821,0.00005813261,0.0004465983,0.0002028302,0.0001067357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008279492,0.0001604785,0.001436661,0.0006802342,0.00007828977,0.000604048,0.00139246,0.004638754,0.1167933,0.02315508,0.02225708,0.8279757],"study_design_scores_gemma":[0.0003124298,0.001857835,0.004453514,0.000300905,0.0002382603,0.00572515,0.0007858882,0.07761692,0.2835123,0.03756179,0.5872153,0.000419672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03257539,0.0007139398,0.9300292,0.0001912442,0.0003113735,0.0001959326,0.0004000533,0.01770151,0.01788136],"genre_scores_gemma":[0.3802429,0.001241907,0.5743967,0.000419805,0.0001827355,0.0004976773,0.001378873,0.00236042,0.03927903],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03412688,"threshold_uncertainty_score":0.1141658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003540836264360696,"score_gpt":0.198044610518288,"score_spread":0.1945037742539273,"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."}}