{"id":"W4220987270","doi":"10.3389/fdgth.2022.847002","title":"Development of an Offline, Open-Source, Electronic Health Record System for Refugee Care","year":2022,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Harvard Business School; Robert Wood Johnson Foundation","keywords":"Usability; Open source; sync; Python (programming language); Health care; Electronic health record; Cloud computing; Health informatics; World Wide Web; Computer science; Medicine; Nursing; Public health; Operating system","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":[0.004772347,0.0005764331,0.0005642005,0.001060743,0.0007749072,0.002542145,0.00231986,0.0008531262,0.01657755],"category_scores_gemma":[0.01212343,0.000529459,0.0008612563,0.0006314534,0.0005495835,0.002800458,0.003560282,0.001563462,0.01023917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007715704,"about_ca_system_score_gemma":0.003436128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001886521,"about_ca_topic_score_gemma":0.001713685,"domain_scores_codex":[0.997508,0.0006250748,0.00033353,0.000533731,0.0007840531,0.0002155026],"domain_scores_gemma":[0.9937388,0.001683263,0.000360519,0.001415765,0.001746916,0.001054702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002038677,0.002731484,0.02529891,0.001842214,0.0002837064,0.003261193,0.006770362,0.004076489,0.08101898,0.01038194,0.1348746,0.7274215],"study_design_scores_gemma":[0.001321491,0.0031331,0.0615199,0.001584624,0.0004007904,0.004446078,0.003917812,0.08926027,0.124627,0.01062196,0.6983349,0.0008321106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.09646045,0.0003026711,0.6859087,0.002827585,0.001021683,0.006848702,0.01153661,0.1770607,0.01803288],"genre_scores_gemma":[0.2116733,0.0004093525,0.7303036,0.001783043,0.000232459,0.003021338,0.01836651,0.01116224,0.02304819],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01657755,"threshold_uncertainty_score":0.05545741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967096172577172,"score_gpt":0.3888162829408709,"score_spread":0.3591453212150992,"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."}}