{"id":"W7133706323","doi":"10.5281/zenodo.18873854","title":"Replication Study on Digital Health Record Systems in Northern Ghana: Efficiency and Satisfaction Evaluation","year":2008,"lang":"en","type":"article","venue":"Open MIND","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Metric (unit); Verifiable secret sharing; Replication (statistics); Process (computing); Bounded function; Domain (mathematical analysis); Health care; Grounded theory","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05443432,0.0008150258,0.0008292426,0.001465007,0.001814839,0.001089912,0.001096973,0.0008639437,0.004736383],"category_scores_gemma":[0.1347034,0.0003878455,0.001341057,0.002289624,0.001498916,0.0015734,0.001437794,0.0009807653,0.0008099392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003711747,"about_ca_system_score_gemma":0.006219067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01967795,"about_ca_topic_score_gemma":0.01463873,"domain_scores_codex":[0.9517423,0.03981125,0.0027679,0.001483798,0.0033558,0.000839018],"domain_scores_gemma":[0.8732548,0.0702405,0.01525641,0.02210465,0.01754459,0.001599043],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01342291,0.02013393,0.5566034,0.00452639,0.001130173,0.003595892,0.08859485,0.006532479,0.01007151,0.007342142,0.005178828,0.2828675],"study_design_scores_gemma":[0.009767559,0.0651276,0.7283522,0.001621641,0.00216454,0.00197374,0.1123841,0.0149227,0.02590986,0.005284622,0.0321813,0.0003101476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763172,0.0002351429,0.009585978,0.0006125236,0.00005116781,0.007783076,0.000499449,0.00007614507,0.004839293],"genre_scores_gemma":[0.982654,0.0001242027,0.01058635,0.000228519,0.00002673453,0.004925082,0.0002493978,0.00002734108,0.001178489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9455657,"threshold_uncertainty_score":0.2878796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1814083367686658,"score_gpt":0.4845306557348335,"score_spread":0.3031223189661677,"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."}}