{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001193702,0.0001930982,0.000471878,0.0001426869,0.0009241228,0.00001250418,0.0002942343,0.000153608,0.001739312],"category_scores_gemma":[0.003022524,0.0001749095,0.0001550958,0.0002491182,0.00008331703,0.0001460644,0.00007840444,0.0002468995,0.000803627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932392,"about_ca_system_score_gemma":0.001029207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002817629,"about_ca_topic_score_gemma":0.00001171614,"domain_scores_codex":[0.9963186,0.0001325838,0.001992356,0.0005218516,0.000544241,0.0004903441],"domain_scores_gemma":[0.9941555,0.0005107457,0.001278484,0.0007026469,0.002706201,0.0006463721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003003315,0.0004535256,0.004554181,0.1875133,0.00008337667,0.000001781253,0.00007323983,2.278797e-7,0.00001656483,0.02456524,0.7822105,0.0004979783],"study_design_scores_gemma":[0.0005376656,0.00008226064,0.0004565544,0.01983252,0.0001072955,0.0000162662,0.00003934477,0.00003656683,0.000008538275,0.004268493,0.9744572,0.0001572797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002236342,0.01728883,0.1461291,0.07466798,0.02442121,0.4000577,0.009811205,0.002353021,0.3230346],"genre_scores_gemma":[0.04310046,0.004010425,0.007212413,0.1018868,0.00445418,0.8148473,0.008672425,0.0001163759,0.0156996],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.4147895,"threshold_uncertainty_score":0.9999744,"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."}}