{"id":"W2157983373","doi":"10.1145/1822018.1822049","title":"Adapting existing applications to support new interaction technologies","year":2010,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Process (computing); Human–computer interaction; Emerging technologies; Artificial intelligence; Operating system","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":[0.002134368,0.00096131,0.0006569505,0.001027453,0.0007085645,0.003488945,0.00370211,0.001395136,0.004216639],"category_scores_gemma":[0.0103252,0.0007287935,0.0009497817,0.0008745873,0.0007228808,0.004322116,0.003636847,0.00253735,0.003263789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004906913,"about_ca_system_score_gemma":0.0005676965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104954,"about_ca_topic_score_gemma":0.001644353,"domain_scores_codex":[0.9981601,0.0003145143,0.0002003664,0.0004250185,0.000657401,0.0002426654],"domain_scores_gemma":[0.992942,0.00100921,0.0001966991,0.004051471,0.00144086,0.0003597843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003438081,0.0009568887,0.01717023,0.001195331,0.0003089488,0.001638944,0.003673895,0.01758401,0.2264791,0.01759975,0.01671476,0.6963344],"study_design_scores_gemma":[0.0001751311,0.000921973,0.03758436,0.0008143836,0.0007666128,0.003565987,0.003472605,0.1874765,0.1096615,0.04530123,0.6098676,0.000392243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2399342,0.00234798,0.6909862,0.002752422,0.001086909,0.0007611187,0.0003872782,0.02052852,0.04121544],"genre_scores_gemma":[0.389943,0.002783545,0.5721948,0.001838578,0.0005539706,0.000471556,0.001242877,0.004307524,0.02666413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004216639,"threshold_uncertainty_score":0.01410609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04848484550908828,"score_gpt":0.3386042515695765,"score_spread":0.2901194060604882,"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."}}