{"id":"W2118802962","doi":"10.1145/1133265.1133299","title":"Stylus based text input using expanding CIRRIN","year":2006,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Stylus; Computer science; Computer graphics (images); Artificial intelligence; Computer vision","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":[0.0005936513,0.0007976817,0.0006128871,0.0005224994,0.0003279365,0.000630545,0.001089805,0.0005804836,0.01045224],"category_scores_gemma":[0.004869478,0.0002972823,0.0003536418,0.0005218168,0.0003571545,0.001192862,0.001361997,0.0006143897,0.001956142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079101,"about_ca_system_score_gemma":0.0002575532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004645421,"about_ca_topic_score_gemma":0.0007435349,"domain_scores_codex":[0.999184,0.000179184,0.00007366957,0.000147983,0.000351551,0.00006370987],"domain_scores_gemma":[0.9958233,0.002509557,0.0002417392,0.0007805642,0.0004875868,0.0001573769],"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":[0.001477354,0.0002154796,0.001825373,0.0008094235,0.00004623738,0.0012027,0.001365185,0.004925452,0.544594,0.002505347,0.005280042,0.4357533],"study_design_scores_gemma":[0.0003395548,0.005257392,0.02386263,0.0002260142,0.0002937218,0.00626466,0.0006125165,0.1921497,0.66242,0.002036162,0.106124,0.0004135679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.520725,0.001217035,0.4314474,0.0003263502,0.0003457129,0.0007091942,0.0006219225,0.01761724,0.02699022],"genre_scores_gemma":[0.6643225,0.0004270276,0.3191758,0.0003186091,0.0001248616,0.0002831751,0.0005727218,0.0008860014,0.01388936],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01045224,"threshold_uncertainty_score":0.03496623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806560174579886,"score_gpt":0.2708007719128757,"score_spread":0.2527351701670768,"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."}}