{"id":"W3098019831","doi":"10.1002/lary.29281","title":"Deep Learning for Voice Gender Identification: Proof‐of‐concept for <scp>Gender‐Affirming</scp> Voice Care","year":2020,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Transgender; Spectrogram; Psychological intervention; Psychology; Binary classification; Proof of concept; Population; Metric (unit); Medicine; Computer science; Speech recognition; Artificial intelligence; Audiology","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":[0.003154221,0.0007670347,0.0005755347,0.0002646279,0.0002011529,0.0006762861,0.0009148307,0.0008923163,0.002975977],"category_scores_gemma":[0.00563333,0.0001970713,0.0007583936,0.0001471337,0.0005071341,0.0007726626,0.0009248212,0.00161037,0.0006462674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004987802,"about_ca_system_score_gemma":0.001483174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074088,"about_ca_topic_score_gemma":0.002756465,"domain_scores_codex":[0.9991263,0.0003379426,0.00003549363,0.000111532,0.0002940204,0.00009467658],"domain_scores_gemma":[0.9985217,0.000722968,0.000115959,0.00009600664,0.00041162,0.0001316984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003237873,0.003239266,0.02602931,0.001695225,0.0007406173,0.0006251481,0.0002183141,0.05036149,0.05705107,0.002675628,0.0210069,0.8331192],"study_design_scores_gemma":[0.001653124,0.01262625,0.03114927,0.001051324,0.0007319211,0.001471798,0.0004267581,0.8135886,0.1032231,0.009166507,0.02474471,0.0001665991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5113362,0.007718162,0.4512005,0.008002676,0.001616626,0.00240945,0.002765359,0.002222163,0.01272882],"genre_scores_gemma":[0.7859278,0.002250571,0.2022268,0.002342886,0.0002761224,0.00195889,0.001546751,0.0001369114,0.003333292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003154221,"threshold_uncertainty_score":0.01668131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.045144506540235,"score_gpt":0.2996942099067799,"score_spread":0.2545497033665449,"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."}}