{"id":"W4207081697","doi":"10.2196/24699","title":"Acoustic and Facial Features From Clinical Interviews for Machine Learning–Based Psychiatric Diagnosis: Algorithm Development","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical diagnosis; Receiver operating characteristic; Psychiatry; Psychological intervention; Schizophrenia (object-oriented programming); Chin; Bipolar disorder; Algorithm; Medicine; Psychology; Mood; Computer science; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002998001,0.001044884,0.0007380015,0.001748879,0.0003707991,0.0008954638,0.00123512,0.001169516,0.00278873],"category_scores_gemma":[0.008581541,0.0003884394,0.0007950387,0.0008945052,0.0003497442,0.0005847368,0.0008011757,0.001476747,0.001626366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008157853,"about_ca_system_score_gemma":0.001299745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005996491,"about_ca_topic_score_gemma":0.004347469,"domain_scores_codex":[0.9993024,0.0002587505,0.00007206399,0.0002136889,0.0001058275,0.00004734648],"domain_scores_gemma":[0.9965025,0.002531167,0.0002414275,0.0001302934,0.0005181378,0.00007644443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003469959,0.0004567337,0.03533681,0.0001788038,0.0002381831,0.000148729,0.0001192577,0.2155075,0.005146579,0.00102187,0.003789112,0.7377094],"study_design_scores_gemma":[0.00002164806,0.00006580853,0.003772293,0.00003004848,0.00002641002,0.00007172418,0.00003748545,0.9927198,0.001265984,0.001445904,0.0005327911,0.00001015996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07745662,0.001136843,0.9157834,0.0007687972,0.00006975474,0.0004332131,0.0006616372,0.00232733,0.001362442],"genre_scores_gemma":[0.4906203,0.000718646,0.5035248,0.000258499,0.0001315163,0.001083717,0.002200475,0.00008958288,0.001372479],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005996491,"threshold_uncertainty_score":0.01585507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05492646829917502,"score_gpt":0.4156808885666519,"score_spread":0.3607544202674769,"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."}}