{"id":"W2342719696","doi":"10.2196/mhealth.4489","title":"Community Engagement to Optimize the Use of Web-Based and Wearable Technology in a Cardiovascular Health and Needs Assessment Study: A Mixed Methods Approach","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; National Heart, Lung, and Blood Institute; NHLBI Division of Intramural Research; National Institutes of Health","keywords":"Psychological intervention; The Internet; Wearable computer; Wearable technology; Cardiovascular health; mHealth; eHealth; Gerontology; Community health; Medicine; Health equity; Computer science; Disease; Health care; World Wide Web; Public health; Nursing; Political 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":[0.04319249,0.001115814,0.001290807,0.002712595,0.003369265,0.002619192,0.002216851,0.00191187,0.004135168],"category_scores_gemma":[0.03038426,0.001179737,0.002190554,0.001935863,0.001176719,0.00209353,0.004425211,0.001654405,0.0005461653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002727225,"about_ca_system_score_gemma":0.009148951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005026899,"about_ca_topic_score_gemma":0.01048239,"domain_scores_codex":[0.9721236,0.02181651,0.001398189,0.001574736,0.001624411,0.001462594],"domain_scores_gemma":[0.9842134,0.008445606,0.00176286,0.00124805,0.002835851,0.001494324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.005341036,0.05872266,0.1198766,0.007964558,0.001476308,0.0006875762,0.2166835,0.001822885,0.005397937,0.006038868,0.009115583,0.5668725],"study_design_scores_gemma":[0.0172639,0.08212978,0.4107503,0.009161109,0.003293553,0.0005183137,0.3586517,0.024613,0.01043396,0.0249435,0.05734247,0.0008984483],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.845959,0.001244063,0.04175763,0.00276136,0.0002010646,0.09909829,0.001390988,0.0001664997,0.007421086],"genre_scores_gemma":[0.6287175,0.000674432,0.1114194,0.001855037,0.0001067769,0.2541324,0.0005929506,0.00004291194,0.002458544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04319249,"threshold_uncertainty_score":0.2284265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.141062922832576,"score_gpt":0.4201699941888828,"score_spread":0.2791070713563067,"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."}}