{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003269414,0.000347892,0.0004148255,0.0007792235,0.0003298856,0.0006534739,0.0002616048,0.0005497519,0.001496737],"category_scores_gemma":[0.01151207,0.0001602815,0.0006497081,0.0003198034,0.0003342843,0.0007548893,0.0005636436,0.0005193071,0.0001873494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004110922,"about_ca_system_score_gemma":0.0004166871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008995308,"about_ca_topic_score_gemma":0.001161901,"domain_scores_codex":[0.9981666,0.0009745688,0.0001665103,0.0001546831,0.0004111055,0.0001265609],"domain_scores_gemma":[0.993501,0.003832827,0.001370896,0.0001879725,0.0005880703,0.00051932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01505854,0.004564379,0.8822737,0.0003947666,0.0004741593,0.0001394204,0.003237762,0.0003789302,0.002521352,0.0001865701,0.0003612057,0.09040929],"study_design_scores_gemma":[0.0006747828,0.02326194,0.9700921,0.00005181926,0.0001969966,0.000180521,0.002162564,0.001935574,0.0008058125,0.0001812858,0.0004133873,0.00004325456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991452,0.00008114381,0.000182173,0.00003234586,0.00001741906,0.00008243516,0.00003527798,0.000003317081,0.0004206702],"genre_scores_gemma":[0.9989647,0.00006107386,0.0005051603,0.00003096135,0.00001444954,0.0001804401,0.00005414994,0.000001545927,0.0001875861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003269414,"threshold_uncertainty_score":0.01729053,"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."}}