{"id":"W4402637888","doi":"10.2196/52266","title":"Impact of an mHealth App (Kencom) on Patients With Untreated Hypertension Initiating Antihypertensive Medications: Real-World Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Cohort; Cohort study; Gerontology; Internal medicine; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096477,0.0003520812,0.0008946863,0.000565636,0.0008904506,0.00001550026,0.0002216321,0.0001996284,0.0001229041],"category_scores_gemma":[0.0001238399,0.0002439591,0.0001423295,0.001413357,0.0000869401,0.000198108,0.00006186952,0.0009218053,0.0001822372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809717,"about_ca_system_score_gemma":0.002152794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006298269,"about_ca_topic_score_gemma":0.0007749647,"domain_scores_codex":[0.9954587,0.0009282939,0.001190839,0.0008139724,0.0007896022,0.0008186516],"domain_scores_gemma":[0.9958453,0.0008774249,0.000449756,0.001116157,0.0009980705,0.0007133248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002823191,0.000865702,0.9821988,0.0004616148,0.000241662,0.00001987675,0.001287335,0.00004236396,0.000008444167,0.0002738403,0.00524498,0.009073051],"study_design_scores_gemma":[0.001904249,0.00186844,0.9920493,0.0006542425,0.0002014232,0.000002983436,0.001010988,0.0005275447,0.000001395259,0.0000362136,0.001539584,0.0002035696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778441,0.0001211217,0.00002855703,0.0002814128,0.0004064386,0.01315013,0.0002626042,0.0004342215,0.007471458],"genre_scores_gemma":[0.988705,0.0002305813,0.0001461328,0.0006617298,0.0003504941,0.008970794,0.0006694684,0.00009031539,0.0001754763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086095,"threshold_uncertainty_score":0.9948364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03973967398549306,"score_gpt":0.4318864073231816,"score_spread":0.3921467333376886,"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."}}