{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002976952,0.0002357788,0.0004175282,0.00005328556,0.000312197,0.00004274579,0.0003350126,0.0001376176,0.00002909083],"category_scores_gemma":[0.001208102,0.0001852631,0.0002500796,0.0003124984,0.0001061387,0.0001499423,0.00007111815,0.000285937,0.0000510873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003672707,"about_ca_system_score_gemma":0.0001390497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001593209,"about_ca_topic_score_gemma":0.0000195075,"domain_scores_codex":[0.9983053,0.00007148966,0.0004342137,0.000441667,0.0003177833,0.0004295551],"domain_scores_gemma":[0.9983646,0.0004573921,0.0002386634,0.0003737819,0.0004049818,0.0001605754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001978227,0.001204085,0.0179074,0.02066926,0.003356026,0.0000470883,0.5733783,0.01049814,0.124272,0.004301309,0.1135591,0.128829],"study_design_scores_gemma":[0.009072291,0.002240353,0.008477122,0.0002299066,0.002135755,0.00003681366,0.1034727,0.02411054,0.2493262,0.0009013607,0.5995048,0.0004922049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6928395,0.03616568,0.227658,0.0149721,0.001030268,0.01283896,0.0001355251,0.0006499006,0.01371007],"genre_scores_gemma":[0.9927536,0.00005475365,0.001953485,0.002419539,0.0006238434,0.0003409591,0.0002524315,0.00008202294,0.001519402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4859457,"threshold_uncertainty_score":0.7554809,"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."}}