{"id":"W1996780884","doi":"10.1145/1979742.1979934","title":"Integrating touch and near touch interactions for information visualizations","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Multi-touch; Computer science; Human–computer interaction; Visualization; Tracking (education); Computer graphics (images); Artificial intelligence","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":[0.00004644858,0.00007395771,0.00006542668,0.00008731717,0.0002228838,0.0001879437,0.000169278,0.00002209448,0.00007940916],"category_scores_gemma":[0.00009563693,0.00006314983,0.00003631907,0.0001454454,0.00002121097,0.003095179,0.00007908889,0.00005779912,0.00005104816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002024804,"about_ca_system_score_gemma":0.00002867864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001127427,"about_ca_topic_score_gemma":0.00003306653,"domain_scores_codex":[0.9995289,0.00001354954,0.0001656669,0.000111696,0.00005629904,0.0001238274],"domain_scores_gemma":[0.9994304,0.00007686591,0.00006510767,0.0001329415,0.0002547806,0.00003989074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001444827,0.00005563771,0.0006752518,0.00001446252,0.00002912756,2.986999e-7,0.01749497,0.00000309381,0.00360947,0.9607993,0.005555309,0.01174858],"study_design_scores_gemma":[0.001341963,0.0008569169,0.01756302,0.0001167911,0.00004772441,0.00007674049,0.0143957,0.6384459,0.1837208,0.01137248,0.131172,0.0008900677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005908439,0.000002465031,0.9359052,0.0001557967,0.0002718268,0.0001655867,0.000004001769,0.00002843572,0.05755825],"genre_scores_gemma":[0.9038686,0.000002868453,0.09445713,0.001103713,0.00002204439,0.00004964864,0.00001875543,0.000003963478,0.0004732395],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9494269,"threshold_uncertainty_score":0.2575175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995847388621235,"score_gpt":0.2880702866503902,"score_spread":0.2581118127641778,"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."}}