{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125252,0.00005654638,0.00006455161,0.00008808697,0.00002627326,0.00005845041,0.000202687,0.00002392803,0.00001354262],"category_scores_gemma":[0.000008149054,0.00004856865,0.00001815478,0.0001939281,0.000006059448,0.001324176,0.00009503161,0.00004766767,0.00007322418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038129,"about_ca_system_score_gemma":0.00004674166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005428793,"about_ca_topic_score_gemma":0.0001444056,"domain_scores_codex":[0.999491,0.00002238813,0.0001046601,0.0001321218,0.0001084667,0.0001413288],"domain_scores_gemma":[0.9996797,0.00001168557,0.00003411137,0.0001373649,0.00009789794,0.00003921708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00012439,0.0005813771,0.5243714,0.0001029194,0.00009121666,0.0001676385,0.04217952,0.1786088,0.08127178,0.1463892,0.007144701,0.0189671],"study_design_scores_gemma":[0.0004407145,0.0001068452,0.02033537,0.00002701807,0.000002993458,0.00002189691,0.001671048,0.943213,0.02937422,0.0008753047,0.003720741,0.0002108903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7775389,0.00006562372,0.2000001,0.00003507068,0.0002503734,0.0001002261,3.489081e-7,0.00001287589,0.02199644],"genre_scores_gemma":[0.9952062,8.016381e-7,0.004311697,0.0003109144,0.00001782284,0.000004253892,0.000002446819,0.000002640114,0.0001431626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7646042,"threshold_uncertainty_score":0.1980572,"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."}}