{"id":"W7135203326","doi":"10.5281/zenodo.18999158","title":"Telehealth Platforms for Remote Diabetes Management in Southern Africa: Patient Control and Health Improvement Effects","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Telemedicine; Quality management; Psychological intervention; Control (management); Disease management; Randomized controlled trial; mHealth; Digital health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0137612,0.000492131,0.001721185,0.005247066,0.0004015505,0.001738863,0.0005231989,0.0009265706,0.00966221],"category_scores_gemma":[0.03848856,0.0002059748,0.002548012,0.006306683,0.00044651,0.001304701,0.0009131068,0.0006018537,0.000158871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814367,"about_ca_system_score_gemma":0.004586179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003364888,"about_ca_topic_score_gemma":0.008433444,"domain_scores_codex":[0.9950987,0.00283078,0.001051671,0.0002305409,0.0005868316,0.0002014991],"domain_scores_gemma":[0.9677481,0.02661938,0.00382616,0.0002115661,0.001225754,0.0003689737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.004113701,0.0002898847,0.01791961,0.5440482,0.008798157,0.0006988641,0.00108824,0.0003012413,0.0007500238,0.001371224,0.002175204,0.4184456],"study_design_scores_gemma":[0.006046884,0.007957921,0.1822179,0.6636587,0.08346701,0.002132392,0.005221623,0.0006161089,0.001918474,0.002512855,0.04414129,0.0001088254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05625255,0.9326828,0.0004905931,0.002824523,0.0002547286,0.001121848,0.001672524,0.00001485264,0.004685527],"genre_scores_gemma":[0.5127671,0.4794625,0.003297467,0.001266532,0.0003638354,0.001680921,0.0006158104,0.000007037679,0.0005388401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0137612,"threshold_uncertainty_score":0.07277703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311214822747258,"score_gpt":0.3121597119744038,"score_spread":0.2790475637469312,"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."}}