{"id":"W2003785947","doi":"10.1145/2047196.2047257","title":"The 1line keyboard","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Keystroke logging; Computer science; Gesture; Virtual keyboard; Text entry; Space (punctuation); Computer graphics (images); Human–computer interaction; Speech recognition; Computer hardware; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005693368,0.001082792,0.0003510539,0.0005766002,0.0002496561,0.001017445,0.001021888,0.0008491082,0.05227484],"category_scores_gemma":[0.004700413,0.0002838203,0.0004189989,0.0004484291,0.0002658488,0.002219985,0.0009385832,0.0003053419,0.01812047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002234398,"about_ca_system_score_gemma":0.0003630508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161164,"about_ca_topic_score_gemma":0.00126364,"domain_scores_codex":[0.9992827,0.0001452868,0.00006277178,0.0001599026,0.0002856565,0.00006375238],"domain_scores_gemma":[0.998094,0.0005981129,0.0003092028,0.0002818142,0.0005660591,0.0001506966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001226667,0.000181653,0.01016078,0.001600018,0.0000777854,0.0003522477,0.0003377436,0.002639725,0.04356936,0.009527082,0.1062318,0.8240951],"study_design_scores_gemma":[0.000471188,0.004926528,0.06678995,0.001080585,0.0002244775,0.01275592,0.0004404429,0.08216979,0.05276797,0.01145485,0.7664869,0.000431481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1592993,0.007393813,0.6214026,0.001445378,0.001111868,0.002039621,0.01292928,0.04519526,0.1491829],"genre_scores_gemma":[0.6250528,0.00376621,0.2583217,0.001739868,0.0003760181,0.001465134,0.007763743,0.001436771,0.1000777],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05227484,"threshold_uncertainty_score":0.1748767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827535129525256,"score_gpt":0.2234454008752536,"score_spread":0.1951700495800011,"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."}}