{"id":"W2941482945","doi":"10.2196/10388","title":"Connecting Home-Based Self-Monitoring of Blood Pressure Data Into Electronic Health Records for Hypertension Care: A Qualitative Inquiry With Primary Care Providers","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary care; Self care; Health records; Blood pressure; Medicine; Qualitative research; Electronic health record; Nursing; Primary health care; Health care; Family medicine; Sociology; Political science; Environmental health; 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":[0.02511073,0.0005654236,0.0008303544,0.001626983,0.01067576,0.004832301,0.001815754,0.002553475,0.002423724],"category_scores_gemma":[0.03124049,0.0009905933,0.0006126699,0.001511221,0.008600463,0.004002562,0.005853035,0.003275668,0.0002848893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006549769,"about_ca_system_score_gemma":0.00772786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009050255,"about_ca_topic_score_gemma":0.01277966,"domain_scores_codex":[0.9782074,0.01780472,0.0004841805,0.0008251845,0.0008751129,0.001803365],"domain_scores_gemma":[0.9460725,0.04582092,0.001941676,0.00067873,0.002570447,0.002915702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001314619,0.0000339337,0.001489896,0.0001162544,0.000003377239,0.0004999034,0.9953091,0.00001830701,0.0003235317,0.0003663564,0.0002317893,0.001594413],"study_design_scores_gemma":[0.000005803324,0.00004899169,0.001023478,0.000200087,0.000004668134,0.0002184745,0.994772,0.00006980755,0.0001762343,0.0001759049,0.003297598,0.000007004085],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826963,0.001176209,0.005727857,0.00524269,0.0001075875,0.0005586835,0.0001854292,0.0000245592,0.004280639],"genre_scores_gemma":[0.9919036,0.001041582,0.003149008,0.001630025,0.00003190745,0.0005869191,0.00005515858,0.00002134685,0.001580421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02511073,"threshold_uncertainty_score":0.1327999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1474956206528909,"score_gpt":0.5202221556070675,"score_spread":0.3727265349541766,"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."}}