{"id":"W2044217189","doi":"10.1109/mcom.2004.1362557","title":"SIMKEYS: an efficient keypad configuration for mobile communications","year":2004,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Keypad; Computer science; Usability; Wireless; Simplicity; Mobile computing; Mobile device; Mobile telephony; The Internet; Multimedia; Human–computer interaction; Computer network; Telecommunications; World Wide Web; Mobile radio","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":[0.0004074473,0.001186104,0.0006777004,0.001076172,0.0004634828,0.001014831,0.002988531,0.0006214032,0.01573443],"category_scores_gemma":[0.002091102,0.0005890749,0.0002708686,0.0007444215,0.0004372821,0.002218469,0.001653262,0.0005412432,0.004679208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527951,"about_ca_system_score_gemma":0.0003257636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004947247,"about_ca_topic_score_gemma":0.0006971121,"domain_scores_codex":[0.9993722,0.000148116,0.00006529516,0.0001087565,0.0002249895,0.00008060456],"domain_scores_gemma":[0.9989993,0.0002758598,0.0001175383,0.0003345157,0.0001699031,0.0001028711],"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":[0.003734427,0.0002411598,0.002380409,0.001054022,0.0001330706,0.001127607,0.0006006145,0.01593338,0.1539926,0.01619678,0.05338177,0.7512241],"study_design_scores_gemma":[0.0009917474,0.002695647,0.003957726,0.0001963574,0.000264767,0.004150585,0.0003789723,0.3513078,0.395286,0.01273074,0.227687,0.0003526856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06603103,0.001548391,0.8652002,0.0002296765,0.0004347813,0.0004342225,0.0006738364,0.05502161,0.01042629],"genre_scores_gemma":[0.6766608,0.0008919497,0.2958207,0.0002441608,0.0001696532,0.0005350436,0.00110082,0.00305105,0.02152576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01573443,"threshold_uncertainty_score":0.05263692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349210874653191,"score_gpt":0.3330953263867433,"score_spread":0.2896032176402114,"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."}}