{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003122687,0.000302417,0.001123428,0.0004621163,0.003071461,0.00002348654,0.001000422,0.0001359748,0.00002703389],"category_scores_gemma":[0.00007259446,0.0003326721,0.00008232846,0.0008487114,0.00004425524,0.000325848,0.0004659652,0.001038639,0.00001082552],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008573344,"about_ca_system_score_gemma":0.02210795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010113,"about_ca_topic_score_gemma":0.002675972,"domain_scores_codex":[0.9932399,0.0005445964,0.002786612,0.0008276177,0.0004653196,0.002136005],"domain_scores_gemma":[0.9963134,0.0001727757,0.001561708,0.0008208391,0.0002133029,0.000917953],"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":[0.0009301646,0.000461609,0.01125058,0.009406529,0.00002112608,5.889523e-7,0.01010618,0.00007362855,6.496734e-7,0.008834769,0.05293963,0.9059746],"study_design_scores_gemma":[0.002685447,0.001173324,0.001167639,0.0003251865,0.00000302453,0.00000277126,0.0536516,0.0004901367,0.000002032158,0.0005102506,0.9397558,0.0002327782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4925999,0.03600613,0.2294016,0.01601989,0.0192365,0.1729745,0.01038252,0.002100121,0.02127881],"genre_scores_gemma":[0.7718119,0.0004304584,0.1388457,0.008393757,0.0004232947,0.07210216,0.00514175,0.0002933241,0.002557625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9057418,"threshold_uncertainty_score":0.9999126,"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."}}