{"id":"W3047535556","doi":"10.2196/17271","title":"User Experiences With and Recommendations for Mobile Health Technology for Hypertensive Disorders of Pregnancy: Mixed Methods Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Medicine; Pregnancy; Usability; eHealth; Digital health; Health care; Telemedicine; Mobile technology; Blood pressure; Family medicine; Nursing; Psychological intervention; Medical emergency; Mobile device; Computer science","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":[0.01091001,0.0005213842,0.0008141688,0.001201871,0.002467499,0.00341989,0.000799226,0.001057316,0.002700931],"category_scores_gemma":[0.0155241,0.0006695821,0.001094526,0.001417143,0.001082458,0.002363227,0.002856701,0.001045824,0.0004091416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187694,"about_ca_system_score_gemma":0.002150445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249862,"about_ca_topic_score_gemma":0.007010746,"domain_scores_codex":[0.9935136,0.004185272,0.0005979352,0.0004545429,0.0006529812,0.0005956722],"domain_scores_gemma":[0.9899588,0.006946404,0.001048863,0.0003439921,0.001130071,0.0005717659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004348141,0.001565811,0.1304435,0.001677695,0.0001471361,0.001189688,0.8162784,0.00008176494,0.001429171,0.0005612845,0.000861641,0.04532912],"study_design_scores_gemma":[0.00009359385,0.002193669,0.08685043,0.0008394541,0.0001262989,0.0009650463,0.8994347,0.000541541,0.0006739753,0.0002555566,0.007939822,0.00008581555],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964223,0.0004887043,0.0007252921,0.0002198775,0.00001442034,0.0006400696,0.0001947219,0.000005979194,0.001288822],"genre_scores_gemma":[0.992057,0.00116999,0.002721688,0.000445604,0.00002163955,0.001939411,0.0001757947,0.0000139617,0.001454936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091001,"threshold_uncertainty_score":0.05769831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108638855695081,"score_gpt":0.5153212254657186,"score_spread":0.4044573398962105,"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."}}