{"id":"W2138643406","doi":"10.1186/1472-6947-5-14","title":"A draft framework for measuring progress towards the development of a national health information infrastructure","year":2005,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Health informatics; Health care; Implementation; Set (abstract data type); Health policy; Quality (philosophy); Information system; Health information technology; Formative assessment; Computer science; HRHIS; Business; Public health; Medicine; Political science; Nursing; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.1226786,0.003926315,0.001990515,0.02286947,0.007974656,0.0228638,0.006943943,0.007991135,0.006972662],"category_scores_gemma":[0.157594,0.001863356,0.005666288,0.02277453,0.01968146,0.02506218,0.01224758,0.00729775,0.002694102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03641272,"about_ca_system_score_gemma":0.07583007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05914006,"about_ca_topic_score_gemma":0.03158106,"domain_scores_codex":[0.8575753,0.08000792,0.02239561,0.00843306,0.02555732,0.006030743],"domain_scores_gemma":[0.802976,0.07389868,0.016617,0.01307856,0.08741517,0.006014636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003057285,0.0001695861,0.01172108,0.0009494474,0.00008122958,0.0001723019,0.004877507,0.00756496,0.0003494612,0.9043567,0.02494776,0.04477951],"study_design_scores_gemma":[0.0001618638,0.0007397223,0.02389676,0.005358927,0.0003073676,0.0005237145,0.02265155,0.04258627,0.002119456,0.6142612,0.287033,0.0003603086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01343492,0.001605441,0.8139161,0.03643379,0.0009112701,0.01176252,0.006258262,0.001316512,0.1143611],"genre_scores_gemma":[0.08798856,0.0007225559,0.892344,0.001481176,0.0001014576,0.01095228,0.003632016,0.00011014,0.002667943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1226786,"threshold_uncertainty_score":0.6487942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115679520808998,"score_gpt":0.4701329891014231,"score_spread":0.3585650370205233,"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."}}