{"id":"W2114933741","doi":"10.1197/jamia.m1130","title":"Speech Recognition as a Transcription Aid: A Randomized Comparison With Standard Transcription","year":2003,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"","keywords":"Computer science; Transcription (linguistics); Speech recognition; Randomized controlled trial; Natural language processing; Medicine","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":[0.01769271,0.002566758,0.005232166,0.001538131,0.001020379,0.001898324,0.002359756,0.00431886,0.01591278],"category_scores_gemma":[0.0294428,0.001606588,0.003244287,0.001178717,0.003787195,0.00289809,0.001380428,0.004156676,0.001981498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191103,"about_ca_system_score_gemma":0.003365108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009327116,"about_ca_topic_score_gemma":0.001108468,"domain_scores_codex":[0.9677755,0.02266596,0.003254293,0.003059071,0.001981271,0.001263868],"domain_scores_gemma":[0.958836,0.0260129,0.008356692,0.002531199,0.001930836,0.00233235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9772927,0.01259361,0.0003839696,0.0004703915,0.0003539558,0.00002351244,0.0000746318,0.0002227237,0.0005770245,0.0001555781,0.0002141479,0.007637735],"study_design_scores_gemma":[0.7960398,0.2007047,0.0008194553,0.00006593575,0.0004627913,0.0000176331,0.00005326533,0.0007168704,0.0005472858,0.0002220693,0.0003250629,0.00002512544],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433753,0.002381189,0.004413959,0.0008337616,0.00265505,0.04341239,0.0007149944,0.0002353628,0.001977971],"genre_scores_gemma":[0.9035058,0.001313602,0.01225759,0.001036394,0.00200776,0.07638692,0.0003673707,0.00005838802,0.003066073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01769271,"threshold_uncertainty_score":0.09356904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923955658669671,"score_gpt":0.3802763476800624,"score_spread":0.3510367910933657,"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."}}