{"id":"W4401015891","doi":"10.2196/50375","title":"Maturity Assessment of District Health Information System Version 2 Implementation in Ethiopia: Current Status and Improvement Pathways","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Current (fluid); Computer science; Medicine; Environmental health; Engineering; Psychology","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":[0.06048223,0.0007106544,0.0005428803,0.004268597,0.0009009887,0.00573332,0.001487514,0.0007050853,0.001755836],"category_scores_gemma":[0.0505809,0.0005064853,0.0009470703,0.003985559,0.0008962589,0.004001238,0.0024031,0.001579128,0.0002799172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008748084,"about_ca_system_score_gemma":0.0209239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0181122,"about_ca_topic_score_gemma":0.01210015,"domain_scores_codex":[0.978912,0.01069089,0.00239571,0.0008510609,0.005304617,0.001845743],"domain_scores_gemma":[0.9421105,0.01674261,0.008536532,0.001817019,0.02624874,0.004544592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003265718,0.0007928844,0.5748147,0.003315895,0.0004153597,0.000290682,0.01040957,0.007230998,0.003293113,0.01653832,0.007983646,0.3745882],"study_design_scores_gemma":[0.00008364244,0.00201965,0.8601581,0.006926305,0.0003552291,0.0005315965,0.02764237,0.01865657,0.009782482,0.005774092,0.067823,0.0002470026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774574,0.01962302,0.03162144,0.02400989,0.0005428281,0.002464049,0.003298049,0.0006593333,0.04032389],"genre_scores_gemma":[0.9607643,0.004404556,0.03121435,0.0004467606,0.00004158108,0.0003348863,0.001517759,0.00003055147,0.001245338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06048223,"threshold_uncertainty_score":0.3198644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434083678594135,"score_gpt":0.4611070782656385,"score_spread":0.4267662414796971,"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."}}