{"id":"W2086742830","doi":"10.1145/1358628.1358823","title":"Letterscroll","year":2008,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Character (mathematics); Cursor (databases); Text entry; Computer science; Word error rate; Speech recognition; Words per minute; Selection (genetic algorithm); Artificial intelligence; Human–computer interaction; Mathematics; Reading (process)","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":[0.0005079497,0.0008603656,0.0004463092,0.0009921986,0.000451353,0.00075743,0.000807402,0.000843471,0.04303434],"category_scores_gemma":[0.002419241,0.000199716,0.0003648548,0.0003931929,0.0002451625,0.0008140252,0.0009997593,0.0005437165,0.01200298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081676,"about_ca_system_score_gemma":0.0004317453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007607804,"about_ca_topic_score_gemma":0.0026858,"domain_scores_codex":[0.9996439,0.00005351794,0.00003754489,0.00007575081,0.0001475084,0.00004167803],"domain_scores_gemma":[0.9988132,0.0004522316,0.0001132764,0.0001775151,0.0001927364,0.000251172],"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":[0.002745439,0.0008870356,0.003802126,0.001345145,0.00003366896,0.001499783,0.0005213867,0.0001631683,0.09188101,0.0006569444,0.03501057,0.8614537],"study_design_scores_gemma":[0.002613562,0.01673749,0.1178141,0.001162745,0.0003057504,0.047819,0.001550549,0.00700307,0.2287994,0.003017518,0.5725203,0.0006565744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.57188,0.0115566,0.2515189,0.002760277,0.001833808,0.003648694,0.006663566,0.04862092,0.1015173],"genre_scores_gemma":[0.5238436,0.007142654,0.2168937,0.002026083,0.0003324626,0.002691417,0.005733386,0.002131968,0.2392047],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04303434,"threshold_uncertainty_score":0.1439642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08090584596778877,"score_gpt":0.2812225579609434,"score_spread":0.2003167119931546,"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."}}