{"id":"W3162804847","doi":"10.1002/lary.29605","title":"A Comparison of an Artificial Intelligence Tool to Fundamental Frequency as an Outcome Measure in People Seeking a More Feminine Voice","year":2021,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Voice analysis; Vowel; Cohort; Psychology; Audiology; Medicine; Speech recognition; Internal medicine; Computer science","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":[0.000501606,0.0001869268,0.0005294604,0.0001031011,0.0001037593,0.00004880591,0.0002550873,0.0000921731,0.000356067],"category_scores_gemma":[0.0003139252,0.0001488399,0.00007822616,0.0007236991,0.0000745435,0.0001814076,0.00009107839,0.0003460746,0.00008293995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007573725,"about_ca_system_score_gemma":0.0002507991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502895,"about_ca_topic_score_gemma":0.01078988,"domain_scores_codex":[0.998158,0.0001264209,0.0005765085,0.0003497082,0.0004595642,0.0003298219],"domain_scores_gemma":[0.9989961,0.00006390589,0.00009600114,0.0005737508,0.0001246361,0.0001455927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006984816,0.002492737,0.7177449,0.0002062854,0.0000943207,0.0002037682,0.05489414,0.0002265588,0.1931659,0.001330296,0.00008602078,0.02885667],"study_design_scores_gemma":[0.001986769,0.004498572,0.606002,0.001019795,0.0004588537,0.0002872618,0.1903322,0.0121838,0.1785019,0.002692025,0.0008832131,0.00115366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937593,0.0002691096,0.0004382361,0.003784989,0.0001175047,0.0004746695,0.00001259474,0.00004207469,0.00110154],"genre_scores_gemma":[0.995519,0.000006709444,0.002163394,0.001969561,0.000099097,0.00002590568,0.00005621711,0.00002788557,0.0001322553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354381,"threshold_uncertainty_score":0.6069517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06833362757901165,"score_gpt":0.3917158880614843,"score_spread":0.3233822604824726,"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."}}