{"id":"W4415027681","doi":"10.2196/84394","title":"Correction: The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review","year":2025,"lang":"en","type":"erratum","venue":"JMIR Medical Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health records; Clinical trial; Electronic health record; MEDLINE; Medical record; Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03245676,0.005083791,0.004582267,0.01104348,0.005557691,0.01086001,0.007419666,0.01688823,0.04583482],"category_scores_gemma":[0.3307903,0.003391751,0.005361142,0.009338335,0.006306202,0.00558647,0.005297435,0.02499858,0.02658172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01179713,"about_ca_system_score_gemma":0.02887716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04586351,"about_ca_topic_score_gemma":0.04753778,"domain_scores_codex":[0.9561579,0.01041575,0.01124123,0.00368478,0.01632812,0.002172236],"domain_scores_gemma":[0.7620693,0.09186852,0.01390499,0.009725268,0.1170254,0.005406282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003262312,0.000004313303,0.00004164725,0.0006869546,0.00003780186,0.000118088,0.00004906646,0.00003439215,0.00001846444,0.000558263,0.9949706,0.00344786],"study_design_scores_gemma":[0.0001754313,0.00003339261,0.0006709236,0.006774776,0.0002679969,0.0005138427,0.0001902682,0.0003168671,0.0002357516,0.00279634,0.9879076,0.0001167359],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004773587,0.001897712,0.0005723177,0.08244845,0.9120562,0.0000700248,0.001513895,0.000321649,0.001071924],"genre_scores_gemma":[0.00675874,0.02423156,0.008945422,0.2815155,0.5978712,0.001363682,0.003324938,0.002023757,0.0739652],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04586351,"threshold_uncertainty_score":0.1716498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1176137497007753,"score_gpt":0.5500603045635073,"score_spread":0.432446554862732,"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."}}