{"id":"W2313440158","doi":"10.1093/ajh/hpu125","title":"Community Hypertension Programs in the Age of Mobile Technology and Social Media","year":2014,"lang":"en","type":"article","venue":"American Journal of Hypertension","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Medicine; Social media; Gerontology; Internal medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154734,0.0001743858,0.0001618023,0.0006290016,0.002453517,0.002659981,0.0005861849,0.001262462,0.01692621],"category_scores_gemma":[0.00559594,0.0002166436,0.0002217663,0.0006073774,0.0006161166,0.003110754,0.003365358,0.002164797,0.001131391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008799633,"about_ca_system_score_gemma":0.005431151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466975,"about_ca_topic_score_gemma":0.05597283,"domain_scores_codex":[0.9984204,0.0004876985,0.000040618,0.0001028555,0.0002555726,0.0006929299],"domain_scores_gemma":[0.993838,0.001110997,0.0005198295,0.00009685148,0.0004051472,0.004029091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000787797,0.008164017,0.3003125,0.0006208689,0.0001002273,0.002362244,0.0193461,0.0001314804,0.003590666,0.005202055,0.08768856,0.5716935],"study_design_scores_gemma":[0.0005184254,0.003206953,0.6779377,0.001802948,0.0001435435,0.002023391,0.1209743,0.001305218,0.001346605,0.00809527,0.1825494,0.00009620965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8128427,0.004668279,0.0009598047,0.1020278,0.001352796,0.0003138974,0.000425474,0.0001933546,0.07721595],"genre_scores_gemma":[0.9655513,0.004290657,0.001120489,0.01604097,0.00125487,0.0001836796,0.0001993271,0.000035472,0.01132332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01692621,"threshold_uncertainty_score":0.05662376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08577750660455867,"score_gpt":0.3650893803156419,"score_spread":0.2793118737110832,"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."}}