{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007681387,0.0003317188,0.0004918897,0.00009645919,0.0006639799,0.000154505,0.0001741057,0.0003403969,0.0001221106],"category_scores_gemma":[0.0001178689,0.0003363399,0.0000984139,0.0003369971,0.0003477441,0.0002936272,0.00007875266,0.0007212123,0.0001139484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996475,"about_ca_system_score_gemma":0.0003024618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005021113,"about_ca_topic_score_gemma":0.0001260907,"domain_scores_codex":[0.9958616,0.000423324,0.001468106,0.001076708,0.0003890535,0.0007811759],"domain_scores_gemma":[0.9967493,0.0003862194,0.0007227345,0.0003098843,0.000105732,0.00172613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001732429,0.0005233146,0.9660488,0.001087241,0.00003108419,0.0000136653,0.0003931603,8.741308e-7,0.00007196003,0.0006346887,0.02426358,0.005199243],"study_design_scores_gemma":[0.001985793,0.001902297,0.9822263,0.0002012668,0.00002951545,0.0000570087,0.0001986172,0.0003911282,0.00002547672,0.0001980888,0.01250083,0.0002837029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897725,0.001807829,0.0001090144,0.003569906,0.001232642,0.0008544131,0.00109064,0.000175915,0.001387114],"genre_scores_gemma":[0.9852938,0.00006542441,0.0004837537,0.01277225,0.0004030328,0.00007743013,0.0003072319,0.00005545707,0.0005416239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01617752,"threshold_uncertainty_score":0.9999089,"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."}}