{"id":"W3024171629","doi":"10.2196/13637","title":"Recruiting Student Health Coaches to Improve Digital Blood Pressure Management: Randomized Controlled Pilot Study","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Francisco","keywords":"Medicine; Digital health; Psychological intervention; Blood pressure; Randomized controlled trial; Physical therapy; Economic shortage; Health education; Health literacy; Intervention (counseling); Nursing; Health care; Public health; Surgery; Government (linguistics); 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":[0.004484142,0.001641084,0.003338439,0.0009176707,0.001161487,0.001319393,0.001784324,0.003256166,0.01343086],"category_scores_gemma":[0.005037014,0.001011814,0.0020656,0.0008912626,0.001468376,0.001236015,0.001218179,0.002811458,0.001461582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000925432,"about_ca_system_score_gemma":0.003724706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686228,"about_ca_topic_score_gemma":0.00516467,"domain_scores_codex":[0.9971806,0.001505245,0.0002794286,0.0003730673,0.0002455496,0.0004160886],"domain_scores_gemma":[0.9954399,0.001391696,0.0008291033,0.0003120235,0.0006430938,0.001384163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.801369,0.1735717,0.001314371,0.001861858,0.0009843365,0.00003949201,0.0001870938,0.0001674601,0.001111605,0.00006150241,0.0005698205,0.0187618],"study_design_scores_gemma":[0.8102041,0.1861446,0.002501652,0.00008220702,0.0003647304,0.000005964281,0.00007456464,0.0001549135,0.0001344999,0.00003780432,0.0002858052,0.000009080272],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138431,0.002024173,0.001014429,0.0006075199,0.0008806317,0.07859888,0.001008679,0.0001650889,0.001857552],"genre_scores_gemma":[0.8718731,0.002558775,0.006646702,0.001433941,0.0008458896,0.1130272,0.0006217262,0.00001919183,0.002973448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01343086,"threshold_uncertainty_score":0.0449307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1473740832737082,"score_gpt":0.5216273551585734,"score_spread":0.3742532718848652,"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."}}