{"id":"W4406323472","doi":"10.1370/afm.240091","title":"Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression","year":2025,"lang":"en","type":"article","venue":"The Annals of Family Medicine","topic":"Mental Health via Writing","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomarker; Depression (economics); Computer science; Psychology; Speech recognition; Medicine; Audiology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003430717,0.0005312053,0.0003833405,0.001325898,0.0002860528,0.001027919,0.0005829161,0.0008769981,0.002497203],"category_scores_gemma":[0.01123054,0.0002329046,0.0004366531,0.0004477723,0.0001950109,0.0005200439,0.0005070811,0.0004309242,0.0008947179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974522,"about_ca_system_score_gemma":0.0004380539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002036966,"about_ca_topic_score_gemma":0.005098945,"domain_scores_codex":[0.9981918,0.0008390191,0.0002096659,0.0002970456,0.0003609557,0.0001015922],"domain_scores_gemma":[0.994904,0.002306193,0.0009765194,0.0001521681,0.001412842,0.0002482976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002039155,0.0009036241,0.8455916,0.0004301284,0.0002984654,0.0001591328,0.0004151297,0.001225086,0.01312614,0.0001660871,0.003324041,0.1323214],"study_design_scores_gemma":[0.0002525692,0.003064318,0.9538059,0.0001925568,0.0003015313,0.000911219,0.0005274586,0.03046486,0.007749975,0.000307089,0.002348712,0.00007390802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755078,0.000894528,0.01269785,0.0006601118,0.0001227916,0.001418557,0.003879654,0.0004067748,0.004411927],"genre_scores_gemma":[0.9799812,0.0002690886,0.01586103,0.0004315469,0.00006967394,0.0007791397,0.001284836,0.00001881296,0.001304726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003430717,"threshold_uncertainty_score":0.01814359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3192273146389399,"score_gpt":0.5043761697473272,"score_spread":0.1851488551083873,"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."}}