{"id":"W1978939624","doi":"10.1145/2677199.2687916","title":"Caret Manipulation using Deformable Input in Mobile Devices","year":2015,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gesture; Computer science; Movement (music); Artificial intelligence; Computer vision; Dual (grammatical number); Mobile device; Computer graphics (images); Multi-touch; Human–computer interaction; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004236341,0.001068673,0.0004755346,0.0004589136,0.0004574138,0.0009082339,0.001228378,0.001215612,0.0101241],"category_scores_gemma":[0.002551387,0.0005748574,0.0006273621,0.0003456815,0.0007306951,0.001233423,0.002014732,0.0006310263,0.001169991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003546457,"about_ca_system_score_gemma":0.0001914707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228642,"about_ca_topic_score_gemma":0.002078227,"domain_scores_codex":[0.9994152,0.00008005276,0.00004531283,0.0001380262,0.0002570518,0.00006441382],"domain_scores_gemma":[0.9989746,0.0004820623,0.0001072189,0.0002252308,0.000121264,0.00008970852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000687818,0.0001465403,0.002768656,0.0006777642,0.00004806308,0.002402913,0.001451569,0.006210176,0.7174532,0.004484155,0.005900196,0.2577689],"study_design_scores_gemma":[0.0004435935,0.003004938,0.03403597,0.000705537,0.0002394353,0.009455591,0.001213113,0.1741514,0.6535048,0.006363725,0.1162756,0.0006062943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2387929,0.001181129,0.7329676,0.0007196943,0.0003193222,0.0006511433,0.0004722072,0.00830707,0.01658902],"genre_scores_gemma":[0.7177076,0.0006426942,0.2684155,0.0004617057,0.00006340836,0.0003025338,0.0003703629,0.0004213798,0.01161478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0101241,"threshold_uncertainty_score":0.03386843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761475518932917,"score_gpt":0.3083291664107736,"score_spread":0.2507144112214444,"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."}}