{"id":"W2765175453","doi":"10.2196/mhealth.7745","title":"Guidelines and mHealth to Improve Quality of Hypertension and Type 2 Diabetes Care for Vulnerable Populations in Lebanon: Longitudinal Cohort Study","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University; Massachusetts Institute of Technology","keywords":"mHealth; Cohort; Type 2 diabetes; Medicine; Cohort study; Quality (philosophy); Diabetes mellitus; Longitudinal study; Gerontology; Environmental health; Demography; Psychiatry; Psychological intervention; Internal medicine; Endocrinology","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":[0.005320791,0.0004662239,0.0004367414,0.0008560263,0.001913555,0.001444022,0.0007014825,0.000786942,0.002677861],"category_scores_gemma":[0.006671007,0.0003924911,0.00158818,0.001125338,0.0004459477,0.00123653,0.001819795,0.001595289,0.000483927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036228,"about_ca_system_score_gemma":0.004011894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04808104,"about_ca_topic_score_gemma":0.06231001,"domain_scores_codex":[0.99747,0.001050422,0.0002383572,0.0003164461,0.0003382361,0.0005864121],"domain_scores_gemma":[0.99603,0.0004587447,0.001484093,0.0002861578,0.0008566602,0.0008842941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004941611,0.001498585,0.9887372,0.0001050663,0.0002377285,0.00008066174,0.001128113,0.00002879865,0.00008259332,0.00005515676,0.00114097,0.006410937],"study_design_scores_gemma":[0.0002527597,0.001487241,0.9922174,0.0002349081,0.0002539061,0.00006914734,0.003786478,0.0002344093,0.00009096287,0.00005163786,0.001297944,0.00002318849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970959,0.0005310285,0.00008020168,0.0004415264,0.00003384895,0.0002410429,0.001119846,0.000004422338,0.0004521514],"genre_scores_gemma":[0.9956305,0.0004884631,0.0005224995,0.0007152374,0.00005535169,0.000765754,0.001113194,0.0000060624,0.0007030369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04808104,"threshold_uncertainty_score":0.09560233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3118922784722986,"score_gpt":0.5453230592159906,"score_spread":0.233430780743692,"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."}}