{"id":"W2913115113","doi":"10.2196/11794","title":"An Interactive Voice Response and Text Message Intervention to Improve Blood Pressure Control Among Individuals With Hypertension Receiving Care at an Urban Indian Health Organization: Protocol and Baseline Characteristics of a Pragmatic Randomized Controlled Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Baseline (sea); Text message; Intervention (counseling); Protocol (science); Health care; Blood pressure; Medicine; Control (management); Family medicine; Physical therapy; Alternative medicine; Nursing; Computer science; Political science; Artificial intelligence; Pathology","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":[0.018271,0.004087239,0.006350272,0.002480497,0.002612874,0.00304517,0.002752777,0.004387637,0.02835931],"category_scores_gemma":[0.0150101,0.001978747,0.004284303,0.002724889,0.002118588,0.002103373,0.001967153,0.004234572,0.002754062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003477669,"about_ca_system_score_gemma":0.01105509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004173483,"about_ca_topic_score_gemma":0.007320443,"domain_scores_codex":[0.983987,0.01065141,0.001784027,0.0008968975,0.001378478,0.001302183],"domain_scores_gemma":[0.9951787,0.001733208,0.001010891,0.000452665,0.0008440105,0.0007805612],"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":[0.8611463,0.05881701,0.001599219,0.01574741,0.003309085,0.0002344757,0.0006291592,0.001761492,0.001600991,0.002001974,0.005775395,0.04737752],"study_design_scores_gemma":[0.9592836,0.03182852,0.001535195,0.0008975207,0.000900668,0.00002377393,0.0001167864,0.0007432684,0.0003028526,0.0005642104,0.003759181,0.00004445199],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.009093713,0.000313746,0.001002891,0.0001713929,0.000143563,0.9878362,0.0006403085,0.00005598006,0.0007422766],"genre_scores_gemma":[0.006454154,0.0001857801,0.002460045,0.0001512323,0.00004265585,0.9902313,0.0001193235,0.000003657029,0.0003518735],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.02835931,"threshold_uncertainty_score":0.09662741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245714948556674,"score_gpt":0.4769641982298249,"score_spread":0.4445070487442582,"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."}}