{"id":"W4388908672","doi":"10.2196/47052","title":"The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health records; Low and middle income countries; Medicine; Business; Developing country; Economic growth; Health care; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1194855,0.0002072391,0.002072937,0.0001630491,0.0005313276,0.00001264311,0.0004332938,0.0004621117,0.00006378625],"category_scores_gemma":[0.02556547,0.0001319781,0.0001842537,0.0006378416,0.0001993062,0.0001450663,0.0001571634,0.001570467,0.00008550807],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987494,"about_ca_system_score_gemma":0.01122363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006149339,"about_ca_topic_score_gemma":0.003420808,"domain_scores_codex":[0.9817426,0.00474996,0.01069053,0.0001921457,0.0009113908,0.001713332],"domain_scores_gemma":[0.961351,0.03458561,0.002888982,0.000464308,0.000214702,0.0004954434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004464643,0.00009736422,0.01459963,0.805512,0.0001389439,0.000002179068,0.01352289,0.000001120252,7.301851e-8,0.01266636,0.06018306,0.09282999],"study_design_scores_gemma":[0.005543709,0.001383717,0.001386311,0.8348007,0.00003493145,0.000008640329,0.007488229,0.01056207,9.698172e-7,0.001531594,0.1369114,0.0003477514],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3478605,0.3336566,0.003502459,0.1913367,0.009494272,0.1100133,0.0002864411,0.001088601,0.002761101],"genre_scores_gemma":[0.0124073,0.9584661,0.0003002684,0.02119356,0.0010422,0.005909863,0.00007456434,0.00007019147,0.0005359834],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6248094,"threshold_uncertainty_score":0.9943818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.210964439024855,"score_gpt":0.582882170421912,"score_spread":0.3719177313970571,"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."}}