{"id":"W1990208848","doi":"10.1109/spl.2007.371736","title":"A Hardware Based Braille Note Taker","year":2007,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bentley (Canada)","funders":"","keywords":"Braille; Computer science; VHDL; Field-programmable gate array; Hardware description language; Computer hardware; Computer architecture; 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":[0.00029205,0.0008208264,0.0006440565,0.0004915911,0.0004629862,0.0009080747,0.002304749,0.001021436,0.02086046],"category_scores_gemma":[0.0006385944,0.0003802354,0.0004023892,0.0002985895,0.0003579714,0.000961147,0.0007648192,0.0009066054,0.006370469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003323906,"about_ca_system_score_gemma":0.0004136622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000938674,"about_ca_topic_score_gemma":0.001073869,"domain_scores_codex":[0.9993698,0.00005466462,0.0000372898,0.0001457145,0.0003216684,0.00007090945],"domain_scores_gemma":[0.9995289,0.000127094,0.00003707378,0.00009624683,0.0001508721,0.00005994299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005144228,0.0001519703,0.0004389726,0.0007547534,0.00005387936,0.0008426582,0.0002140731,0.00199791,0.7257857,0.004303779,0.006763812,0.258178],"study_design_scores_gemma":[0.0003654956,0.002711241,0.004675185,0.000214029,0.0002028091,0.006412176,0.0001552892,0.0401361,0.7213693,0.001405599,0.2220684,0.000284362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06408166,0.002377047,0.8498801,0.0005236783,0.0009387538,0.0009510079,0.0007429944,0.03181829,0.04868647],"genre_scores_gemma":[0.3966567,0.001124829,0.5273559,0.0007647278,0.0002408804,0.000584565,0.001108754,0.0008194749,0.07134413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02086046,"threshold_uncertainty_score":0.06978518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04697032994054733,"score_gpt":0.3167103991372672,"score_spread":0.2697400691967198,"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."}}