{"id":"W2761533311","doi":"10.2196/resprot.8059","title":"Utilizing Consumer Health Informatics to Support Management of Hypertension by Clinical Pharmacists in Primary Care: Study Protocol","year":2017,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; University of Michigan","keywords":"Medicine; mHealth; Psychological intervention; Intervention (counseling); Family medicine; Protocol (science); Informatics; Health care; Pharmacist; Clinical pharmacy; Health informatics; Public health; Alternative medicine; Nursing; Pharmacy","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":[0.03133849,0.00252161,0.003832411,0.002790517,0.005146418,0.003280898,0.00305005,0.00454185,0.05140887],"category_scores_gemma":[0.0240567,0.003338644,0.003199994,0.00336811,0.002347374,0.002841046,0.002411232,0.00589351,0.01064839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007158971,"about_ca_system_score_gemma":0.03613893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00702276,"about_ca_topic_score_gemma":0.01672342,"domain_scores_codex":[0.9845837,0.008176937,0.003015782,0.001246404,0.001595208,0.001382001],"domain_scores_gemma":[0.9827671,0.005099666,0.002508674,0.001571734,0.005759052,0.002293775],"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":[0.2445601,0.1474494,0.02917834,0.09639449,0.002228727,0.002980227,0.01423709,0.006231454,0.00515298,0.01369228,0.1284571,0.3094377],"study_design_scores_gemma":[0.4204629,0.09666904,0.08770578,0.03274513,0.00200326,0.0007249966,0.01080434,0.006136821,0.003864783,0.009911508,0.3280915,0.0008799083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001224794,0.00005970925,0.0005597953,0.00008931736,0.00003914047,0.9965404,0.0008946097,0.00001436833,0.0005778255],"genre_scores_gemma":[0.0008783031,0.0000760859,0.001178498,0.00008800198,0.000008372007,0.9975052,0.0001381989,0.000001464284,0.0001258909],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05140887,"threshold_uncertainty_score":0.1719798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6075967574041568,"score_gpt":0.7161678356999751,"score_spread":0.1085710782958184,"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."}}