{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007856889,0.00007720361,0.00006407984,0.0001222238,0.0001133305,0.0001128545,0.0005597408,0.00004144362,0.00008478473],"category_scores_gemma":[0.0001076115,0.00007010025,0.00003373581,0.0002718886,0.00001194218,0.0005698339,0.0002606871,0.0002186236,0.0007373893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001883768,"about_ca_system_score_gemma":0.0000401334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006965934,"about_ca_topic_score_gemma":0.00005439082,"domain_scores_codex":[0.9993552,0.000004950426,0.0001248924,0.0002556192,0.00008559194,0.0001737416],"domain_scores_gemma":[0.9993863,0.00006511175,0.00005149396,0.0003530657,0.00009390427,0.00005015339],"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":[0.000002511597,0.00002379136,0.0002342677,0.000002140669,0.000006843459,0.000001746744,0.0003418834,0.000007173948,0.5088992,0.2485345,0.008943791,0.2330022],"study_design_scores_gemma":[0.0001380538,0.0001575398,0.001344531,0.00001391984,0.000004966794,0.0000638759,0.002112471,0.003647422,0.5688604,0.004235856,0.4190934,0.000327588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004651689,0.000001490178,0.9076599,0.002225971,0.000340838,0.0001504416,4.383991e-7,0.0001959595,0.08477328],"genre_scores_gemma":[0.8722022,5.000118e-7,0.1246346,0.0005191357,0.00007713859,0.00003902085,0.000001892304,0.000004857569,0.002520741],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8675504,"threshold_uncertainty_score":0.9477893,"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."}}