{"id":"W2883356771","doi":"10.2196/formative.9658","title":"A Locally Developed Electronic Health Platform in Uganda: Development and Implementation of Stre@mline","year":2018,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Mbarara University of Science and Technology; Uganda National Council for Science and Technology; University of British Columbia","keywords":"Usability; Context (archaeology); Likert scale; Medicine; The Internet; Business; Scale (ratio); Nonprobability sampling; Resource (disambiguation); Medical emergency; Developing country; Economic shortage; Geography; Environmental health; Computer science; Psychology; Economic growth; World Wide Web; Population; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01285354,0.0004987386,0.0002603437,0.001168997,0.001429853,0.002052043,0.001246069,0.0007028031,0.004585259],"category_scores_gemma":[0.02256637,0.0005204835,0.0003451982,0.0007006022,0.0009045894,0.002777328,0.003816714,0.001140205,0.001385149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165214,"about_ca_system_score_gemma":0.007012769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002556674,"about_ca_topic_score_gemma":0.003394207,"domain_scores_codex":[0.9950572,0.002942646,0.0004568936,0.0003290894,0.0006346088,0.0005795082],"domain_scores_gemma":[0.9878536,0.002834021,0.0009452143,0.0009873972,0.004409464,0.002970258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001534502,0.006261761,0.1018469,0.00277895,0.00008845282,0.00742444,0.07240045,0.003260443,0.02217792,0.0044834,0.01659321,0.7611496],"study_design_scores_gemma":[0.001117904,0.02969656,0.3252455,0.00518029,0.000280748,0.005891559,0.1193442,0.01338602,0.03375286,0.002863938,0.4626901,0.0005502469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458234,0.0005909932,0.02361172,0.002479569,0.0001331108,0.01000839,0.0006425687,0.001346474,0.01536368],"genre_scores_gemma":[0.7799494,0.001244555,0.1991092,0.001283007,0.00005968091,0.005473657,0.001575414,0.0003527787,0.01095235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01285354,"threshold_uncertainty_score":0.06797689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538803678427501,"score_gpt":0.5719059123014312,"score_spread":0.4180255444586811,"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."}}