{"id":"W4404516719","doi":"10.2196/60037","title":"An Investigation of the Feasibility and Acceptability of Using a Commercial DASH (Dietary Approaches to Stop Hypertension) App in People With High Blood Pressure: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Dash; Usability; DASH diet; Blood pressure; Medicine; Context (archaeology); Mobile apps; Self-management; Intervention (counseling); Physical therapy; Nursing; Computer science; World Wide Web; 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":[0.01788003,0.0006581502,0.0009772503,0.001010835,0.002277592,0.002189447,0.0008836098,0.00109142,0.001974706],"category_scores_gemma":[0.01910792,0.000744897,0.00159263,0.0006472946,0.0009409618,0.001582312,0.001635036,0.001119152,0.0004295376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244009,"about_ca_system_score_gemma":0.002045583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003567526,"about_ca_topic_score_gemma":0.006256814,"domain_scores_codex":[0.9923613,0.004714517,0.0007301977,0.0005998863,0.001048321,0.0005458085],"domain_scores_gemma":[0.9852414,0.008239389,0.00177862,0.0006830241,0.003448884,0.0006086662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003474639,0.0138611,0.3675736,0.00458475,0.0007461294,0.001803405,0.5007693,0.0001581709,0.006473588,0.0005279419,0.001286546,0.09874092],"study_design_scores_gemma":[0.001152514,0.03816441,0.3948304,0.001994986,0.001188448,0.002226506,0.5432059,0.002299776,0.004844506,0.0005857756,0.009176881,0.000329916],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973119,0.000214832,0.0006234599,0.0001034832,0.00001350104,0.001076336,0.00009229829,0.000004760813,0.0005593817],"genre_scores_gemma":[0.989476,0.0005588451,0.004345769,0.0006508738,0.00003291925,0.003920645,0.000127243,0.00000861327,0.0008792799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01788003,"threshold_uncertainty_score":0.09455973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.386375230196367,"score_gpt":0.54638383305646,"score_spread":0.1600086028600929,"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."}}