{"id":"W3108615578","doi":"10.2196/24045","title":"Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Test (biology); Advice (programming); Mood; Medicine; Intervention (counseling); Psychology; Family medicine; Medical emergency; Computer science; Psychiatry; Psychological intervention","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":[0.002179223,0.000227572,0.0003322886,0.001206239,0.0005045249,0.0006391789,0.0003286112,0.0006296206,0.001226441],"category_scores_gemma":[0.008767731,0.0005640688,0.0004072597,0.0008718499,0.0003501776,0.0006750457,0.0006971097,0.0006683169,0.0003566436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606847,"about_ca_system_score_gemma":0.0003860719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005308971,"about_ca_topic_score_gemma":0.005901595,"domain_scores_codex":[0.9979569,0.000816642,0.000264529,0.0002991129,0.00046599,0.0001968517],"domain_scores_gemma":[0.992831,0.002589173,0.002439628,0.0001965856,0.001341153,0.0006024158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001472255,0.000304316,0.994095,0.0000412087,0.00003158981,0.00009115004,0.002508773,0.00001279811,0.0001984568,0.00001010928,0.0001178254,0.002441535],"study_design_scores_gemma":[0.00001602334,0.00119555,0.9928395,0.00002180421,0.0000350757,0.000279515,0.004992512,0.0001540074,0.00009620285,0.000007021104,0.0003542854,0.000008528804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994814,0.00008546896,0.00003242947,0.00001834591,0.000003173992,0.00004057068,0.00009701162,0.000001450025,0.0002401656],"genre_scores_gemma":[0.9992133,0.0001424054,0.0001620584,0.0000689082,0.000008439915,0.00007522572,0.0001109866,0.000001650155,0.0002170547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005308971,"threshold_uncertainty_score":0.01152498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1473660752597043,"score_gpt":0.4800687563696899,"score_spread":0.3327026811099856,"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."}}