{"id":"W4399169091","doi":"10.2196/59243","title":"Smart Device Ownership and Use of Social Media, Wearable Trackers, and Health Apps Among Black Women With Hypertension in the United States: National Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Complementary and Integrative Health; National Heart, Lung, and Blood Institute; Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut; National Institutes of Health; University of Connecticut","keywords":"Activity tracker; Wearable computer; Social media; BitTorrent tracker; Cardiovascular health; Internet privacy; Wearable technology; African american; Psychology; Advertising; Medicine; Gerontology; Computer science; Business; World Wide Web; Sociology; Artificial intelligence","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":[0.0007262317,0.0001870337,0.000256738,0.000807177,0.000672357,0.0005594432,0.0003389654,0.0005366548,0.001849742],"category_scores_gemma":[0.001623506,0.0003426485,0.0005367614,0.0009752385,0.0002311928,0.000718737,0.0006056821,0.0008396823,0.0003572949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842633,"about_ca_system_score_gemma":0.0004508402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04630098,"about_ca_topic_score_gemma":0.07454344,"domain_scores_codex":[0.9995539,0.00008994906,0.00005647198,0.00007892233,0.0001367943,0.00008401271],"domain_scores_gemma":[0.9985492,0.0001332818,0.0007063756,0.00007355525,0.0002693764,0.0002682448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003003917,0.00007167218,0.9980769,0.00001400744,0.00005407634,0.00001371793,0.0002445989,0.00001015861,0.00009725345,0.00001390138,0.0002612203,0.001112554],"study_design_scores_gemma":[0.000002338115,0.00002639741,0.9989003,0.00001632785,0.00002570834,0.00003403786,0.0006675475,0.00004880141,0.00002437018,0.000009115211,0.0002419724,0.000003098533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959847,0.0003213428,0.00008399637,0.0002018035,0.00001124382,0.00002549104,0.001819371,0.000004659187,0.001547365],"genre_scores_gemma":[0.9979893,0.0002700972,0.000118907,0.0001858251,0.00001178562,0.00003119686,0.0007699751,0.000004410508,0.0006183927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04630098,"threshold_uncertainty_score":0.09206295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1531356069517511,"score_gpt":0.409056457289806,"score_spread":0.2559208503380549,"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."}}