{"id":"W4286705866","doi":"10.2196/39807","title":"Using Voice Biomarkers to Classify Suicide Risk in Adult Telehealth Callers: Retrospective Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Telehealth; Risk assessment; Psychology; Medical emergency; Computer science; Telemedicine; Health care; Computer security","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":[0.0008550472,0.0002892099,0.0003975952,0.001068601,0.0004151646,0.0008020889,0.0004150906,0.0007683273,0.0009377885],"category_scores_gemma":[0.003547386,0.0003771186,0.0004974695,0.0009486615,0.0002987777,0.0006387892,0.0004840006,0.0006691091,0.0003675727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038473,"about_ca_system_score_gemma":0.0002859672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003940671,"about_ca_topic_score_gemma":0.005139208,"domain_scores_codex":[0.9991927,0.00018581,0.0001586729,0.000209469,0.0001798809,0.00007353305],"domain_scores_gemma":[0.9967879,0.0005828367,0.00159251,0.0003235672,0.0004371493,0.0002760847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005939077,0.0000363177,0.9988499,0.00001286607,0.00003185809,0.00003995812,0.0001160328,0.00001685168,0.0001224695,0.000005284458,0.00004686593,0.0006621768],"study_design_scores_gemma":[0.000005645338,0.0001862255,0.9985793,0.00001426447,0.00003783833,0.0002763641,0.0004434996,0.0002697051,0.00005735795,0.00001289716,0.0001106132,0.000006314675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992232,0.0001290863,0.0001547993,0.0000166354,0.000002872921,0.0000215338,0.0003229995,0.000003225208,0.0001256908],"genre_scores_gemma":[0.9990358,0.0001100824,0.0002134398,0.00002753194,0.000008672552,0.0000371307,0.0004605624,0.000002272792,0.0001045604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003940671,"threshold_uncertainty_score":0.007835448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292747715129388,"score_gpt":0.4357984656620706,"score_spread":0.3065236941491318,"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."}}