{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01639025,0.0001944183,0.001259924,0.0001940423,0.0004418586,0.00002972137,0.0002722764,0.0002421398,0.0002429069],"category_scores_gemma":[0.006190195,0.00011478,0.0002948621,0.0006494385,0.0001470356,0.0004496715,0.00000975345,0.002062433,0.00006735664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002962309,"about_ca_system_score_gemma":0.002565709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003202851,"about_ca_topic_score_gemma":0.000258373,"domain_scores_codex":[0.9896066,0.004214923,0.002963481,0.00008169991,0.002548622,0.0005846302],"domain_scores_gemma":[0.9895185,0.001624952,0.007356727,0.0001835183,0.0009871064,0.0003291523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.1762455,0.001656279,0.1073637,0.003958036,0.004803942,0.00003543254,0.2400339,0.0003192087,0.001913866,0.005068246,0.0988074,0.3597945],"study_design_scores_gemma":[0.5310105,0.009523951,0.005157197,0.01117749,0.00300477,0.0008376527,0.1334777,0.01572171,0.002632441,0.01626208,0.2693944,0.001800139],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619393,0.0001022694,0.02437691,0.00594316,0.001495746,0.001416649,0.00001127753,0.00003787534,0.00467678],"genre_scores_gemma":[0.9887068,0.0005782396,0.004927843,0.004886336,0.0003899275,0.00006521696,0.000009688045,0.00003113517,0.0004048372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3579944,"threshold_uncertainty_score":0.8960359,"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."}}