{"id":"W7105985301","doi":"10.2196/63135","title":"Electronic Medical Record Attitudes and Predictors of Adoption Among Ethiopian Health Professionals: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical record; Electronic health record; Electronic medical record; Health records; Public health; Data collection","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":[0.001886682,0.0001909069,0.0002139855,0.000760953,0.0003648244,0.0006469699,0.0002183145,0.0003662388,0.001235029],"category_scores_gemma":[0.003857686,0.0003454618,0.0002717649,0.0007425931,0.0002552565,0.0005515637,0.0003981951,0.0004033145,0.0001813828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003772846,"about_ca_system_score_gemma":0.0004771488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003425874,"about_ca_topic_score_gemma":0.005032662,"domain_scores_codex":[0.9993381,0.0002232698,0.00009328045,0.00009197013,0.0001434132,0.0001099175],"domain_scores_gemma":[0.9972288,0.0009231362,0.001047463,0.0001038938,0.0003800068,0.0003166244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002837838,0.0001567401,0.9973962,0.00002447296,0.00001658017,0.00005024855,0.0008708313,0.00001082776,0.0001009308,0.00001078022,0.00004832037,0.001285695],"study_design_scores_gemma":[0.000006394102,0.0002410656,0.9949175,0.00004303293,0.00001977932,0.0001911562,0.004174987,0.0001171175,0.00007876157,0.00001225745,0.0001932411,0.000004718624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997082,0.00004847374,0.00002925291,0.00002209923,0.000001421338,0.00001225522,0.00005756157,3.885406e-7,0.0001203744],"genre_scores_gemma":[0.9995015,0.0001282153,0.0001320437,0.00005075477,0.00000341198,0.00001745091,0.00006585698,4.84572e-7,0.0001001547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003425874,"threshold_uncertainty_score":0.009977818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016951174445126,"score_gpt":0.5788929770395945,"score_spread":0.4771978595950819,"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."}}