{"id":"W1981324119","doi":"10.1007/s10115-010-0292-1","title":"Architecturing large integrated complex information systems: an application to healthcare","year":2010,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Knowledge management; Enterprise architecture; Information system; Schema (genetic algorithms); Key (lock); Enterprise information system; Multitude; Data science; Enterprise integration; Health care; Architecture; Process management; Enterprise software; Business; Engineering; Computer security","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":[0.001748268,0.0006067802,0.0004038471,0.0006583676,0.001581868,0.003069135,0.0008364681,0.001458344,0.004006657],"category_scores_gemma":[0.005701656,0.0005807528,0.0005118616,0.001425561,0.001013775,0.00206971,0.001894874,0.0009980472,0.0007460063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009163639,"about_ca_system_score_gemma":0.002050343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00593515,"about_ca_topic_score_gemma":0.008582097,"domain_scores_codex":[0.9990548,0.0003509255,0.0000784618,0.0001469294,0.0002931511,0.00007570285],"domain_scores_gemma":[0.9963418,0.002159109,0.0002039675,0.0006107879,0.000409194,0.0002752362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004039096,0.000637971,0.01284719,0.000864596,0.00009440077,0.001691744,0.005166403,0.1535731,0.0475004,0.04279849,0.009691349,0.7247305],"study_design_scores_gemma":[0.0001796976,0.0004028694,0.005921331,0.0001936149,0.0001998935,0.001580713,0.0038576,0.816568,0.03736756,0.07252799,0.06110544,0.00009525692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2040347,0.001047303,0.7777877,0.002426147,0.000127391,0.0005329145,0.0002235209,0.004023068,0.009797285],"genre_scores_gemma":[0.2712701,0.0006417045,0.7246078,0.0001285081,0.00004109418,0.00009134896,0.0001813278,0.0001757523,0.002862471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00593515,"threshold_uncertainty_score":0.01340359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302324811347194,"score_gpt":0.3880023965570019,"score_spread":0.3549791484435299,"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."}}