{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009573366,0.0001713835,0.0004566159,0.0006720579,0.0008783048,0.00000996355,0.0002216261,0.000158393,0.0002548505],"category_scores_gemma":[0.00009555968,0.0001462523,0.00001921974,0.001067866,0.0001642309,0.0003297241,0.0002274839,0.001343371,0.0001516762],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00266837,"about_ca_system_score_gemma":0.01452852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002750226,"about_ca_topic_score_gemma":0.05909724,"domain_scores_codex":[0.9941532,0.001111476,0.001574348,0.0002997356,0.0007764315,0.002084814],"domain_scores_gemma":[0.9977504,0.000590407,0.0004127927,0.0002240179,0.0007701315,0.0002522713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006621429,0.0002733335,0.09116674,0.005001409,0.00009176891,0.000002560653,0.4498314,4.08856e-7,0.0002750202,0.01584628,0.009165309,0.4276837],"study_design_scores_gemma":[0.01199335,0.008364735,0.5684328,0.003051581,0.00000363548,0.0000138772,0.2167829,0.0009335515,0.004721246,0.003006354,0.1820143,0.0006817438],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924853,0.0003546162,0.0006564254,0.001303579,0.00009964586,0.00329104,0.00001396253,0.00003188836,0.001763479],"genre_scores_gemma":[0.9977036,0.0002519008,0.0004894947,0.000206038,0.000106954,0.0009277653,0.00004474425,0.00002582805,0.0002437271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4772661,"threshold_uncertainty_score":0.9910582,"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."}}