{"id":"W2902230949","doi":"10.1016/j.ekir.2018.11.016","title":"Nutritional Mobile Applications for CKD Patients: Systematic Review","year":2018,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University; Impact; St. Joseph’s Healthcare Hamilton; Toronto General Hospital","funders":"","keywords":"Usability; Medicine; Observational study; Psychological intervention; Descriptive statistics; Randomized controlled trial; Mobile apps; Self-management; MEDLINE; Clinical study design; Clinical trial; Nursing; World Wide Web; Internal medicine; Computer science; Human–computer interaction; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007956272,0.001277829,0.006018488,0.00751244,0.0006598451,0.002570909,0.001644278,0.001618921,0.005911579],"category_scores_gemma":[0.0388481,0.0008374573,0.005785719,0.008371863,0.0007085598,0.002253301,0.00142743,0.001139403,0.0003737229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0025739,"about_ca_system_score_gemma":0.01182744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006085584,"about_ca_topic_score_gemma":0.01865809,"domain_scores_codex":[0.9938559,0.002557092,0.001932037,0.0003798507,0.001093759,0.0001813644],"domain_scores_gemma":[0.9750913,0.01860172,0.003956223,0.0002983289,0.001785381,0.000267074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001339255,0.0000154727,0.000368414,0.9655781,0.003637312,0.00004408369,0.000138631,0.00004204141,0.00007323478,0.00009275375,0.001100791,0.02877515],"study_design_scores_gemma":[0.0002921631,0.0002291005,0.00264193,0.9425232,0.03853917,0.0002138645,0.0002360625,0.00006841611,0.0001366075,0.000194464,0.01489965,0.00002533899],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00120116,0.9966911,0.0001861439,0.0003625565,0.000110132,0.0006719338,0.0004346613,0.00001336149,0.0003289192],"genre_scores_gemma":[0.01519627,0.9814827,0.0009156273,0.0005758495,0.00008980224,0.001337627,0.0002388896,0.000005936786,0.0001573417],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007956272,"threshold_uncertainty_score":0.04207724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257709018567325,"score_gpt":0.4296143050751095,"score_spread":0.403843403218377,"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."}}