{"id":"W2116070657","doi":"10.1542/peds.2003-0724-l","title":"Use of Voice Recognition Software in an Outpatient Pediatric Specialty Practice","year":2004,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Radiology practices and education","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster Children's Hospital","funders":"Hamilton Health Sciences","keywords":"Medicine; Dictation; Specialty; Ambulatory; Vocabulary; Family medicine; Medical emergency; Speech recognition; Computer science; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000964293,0.0002851496,0.000186314,0.0003937201,0.0007446794,0.0005015212,0.0005737435,0.0004403516,0.004287449],"category_scores_gemma":[0.005469612,0.0002040758,0.0002034892,0.0003598371,0.0004117145,0.0003451803,0.0006940862,0.0006582503,0.0007552188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002996,"about_ca_system_score_gemma":0.001611323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002439684,"about_ca_topic_score_gemma":0.006247807,"domain_scores_codex":[0.9980313,0.0007275047,0.0001462376,0.0002997352,0.0005275993,0.0002675461],"domain_scores_gemma":[0.9959744,0.001495709,0.001106816,0.0001679624,0.0004723632,0.0007828939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007013308,0.003354694,0.659342,0.0004028042,0.00005630084,0.01815433,0.009276706,0.001149456,0.02158136,0.0001750574,0.006418063,0.2793879],"study_design_scores_gemma":[0.0002085083,0.01562454,0.8472633,0.000305645,0.0001131851,0.09284694,0.009112213,0.004576893,0.01100121,0.000197715,0.01867179,0.00007816669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947243,0.0004134231,0.00132325,0.0004218415,0.00002142781,0.00005321638,0.00004600117,0.00009035679,0.002906087],"genre_scores_gemma":[0.9919999,0.0004441655,0.006173642,0.0003349299,0.00006600641,0.00003768741,0.0001094733,0.0000271698,0.000806969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004287449,"threshold_uncertainty_score":0.01434296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08071955321860967,"score_gpt":0.3377168338060376,"score_spread":0.2569972805874279,"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."}}