{"id":"W2126883543","doi":"10.1109/mcg.2006.110","title":"Integrating Point and Touch for Interaction with Digital Tabletop Displays","year":2006,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dalhousie University; University of British Columbia Hospital","funders":"","keywords":"Computer science; Human–computer interaction; Point (geometry); Interaction technique; Computer graphics (images); Multi-touch; 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":[0.00004577202,0.0001365244,0.0001181371,0.0001015763,0.0002618029,0.0004515008,0.0001722812,0.0000346555,5.840345e-7],"category_scores_gemma":[0.000001588455,0.0001113348,0.00003975839,0.0001827429,0.00006507945,0.0007022739,0.0000629471,0.0001069866,0.000002116535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001196749,"about_ca_system_score_gemma":0.00001340064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004060081,"about_ca_topic_score_gemma":0.00002167787,"domain_scores_codex":[0.9992316,0.000007805328,0.0001588707,0.0003594639,0.00007636816,0.0001658419],"domain_scores_gemma":[0.999355,0.0001510477,0.00008793158,0.0002002623,0.0001553196,0.00005048937],"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":[0.00001283094,0.0001100062,0.001566782,0.00002764897,0.00003078777,0.000001179173,0.0001703355,0.00004747589,0.002266378,0.9810335,0.001879294,0.01285379],"study_design_scores_gemma":[0.002208552,0.001123609,0.02363918,0.0002318488,0.00008282459,0.0003745022,0.0003897644,0.7462438,0.01086061,0.09775247,0.1156762,0.001416662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02681776,0.00003510636,0.9716163,0.0003998228,0.00008174324,0.0003607556,0.00002332099,0.00002553695,0.0006396528],"genre_scores_gemma":[0.984478,0.00001260296,0.01469589,0.0003124912,0.0002013594,0.0002026439,0.00003532468,0.000009926875,0.00005177489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9576603,"threshold_uncertainty_score":0.4540103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007256745074412419,"score_gpt":0.2295007811254436,"score_spread":0.2222440360510311,"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."}}