{"id":"W2096644173","doi":"10.1080/07434610212331281231","title":"Effectiveness of using discrete utterance speech recognition software","year":2002,"lang":"en","type":"article","venue":"Augmentative and Alternative Communication","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dictation; Utterance; Speech recognition; Computer science; Software; Word recognition; Word (group theory); Natural language processing; Reading (process); Mathematics; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008892718,0.0001449178,0.0002670435,0.0001005603,0.0006096934,0.000005294964,0.0003283486,0.00009884985,0.0002925747],"category_scores_gemma":[0.0003269617,0.0001365231,0.00004328262,0.0001929885,0.0004958523,0.0002949641,0.0003452933,0.0004653824,0.00003546934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573941,"about_ca_system_score_gemma":0.00001614738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003459857,"about_ca_topic_score_gemma":0.00003347094,"domain_scores_codex":[0.9965227,0.002528127,0.0004153736,0.0002284256,0.0001302254,0.0001751238],"domain_scores_gemma":[0.9963836,0.002083522,0.0004882874,0.0006317022,0.0003706019,0.00004226586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000576438,0.0008011142,0.679559,0.001209504,0.0005190101,0.000003343681,0.01548006,0.00001858452,0.03798726,0.005070565,0.000450966,0.2583242],"study_design_scores_gemma":[0.008895608,0.0005472252,0.8029332,0.005933104,0.0002681477,0.00001299879,0.01589245,0.007724652,0.09501749,0.05992723,0.001755683,0.001092239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789612,0.001016001,0.01565406,0.0002672136,0.00007998219,0.0009099309,0.0000882032,0.00007322773,0.002950211],"genre_scores_gemma":[0.9817733,0.001655829,0.01607563,0.0001192072,0.00001185784,0.0001756309,0.00008141932,0.00001493772,0.0000922092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.257232,"threshold_uncertainty_score":0.5567252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705966192571,"score_gpt":0.4571311879415313,"score_spread":0.2865345686844314,"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."}}