{"id":"W4206446300","doi":"10.1055/s-0038-1638611","title":"North American Medical Informatics (NAMI)","year":2008,"lang":"en","type":"article","venue":"Yearbook of Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health informatics; Medicine; Computer science; Nursing; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001629086,0.0004087182,0.0003970882,0.002692047,0.004214267,0.004823664,0.001166897,0.001630248,0.1431475],"category_scores_gemma":[0.004354608,0.0003333833,0.0002507735,0.003814639,0.001134095,0.002759954,0.003850695,0.00205461,0.05145103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006930107,"about_ca_system_score_gemma":0.02135878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04002257,"about_ca_topic_score_gemma":0.1103633,"domain_scores_codex":[0.9981986,0.0002196205,0.00008653216,0.000200449,0.001016072,0.0002788398],"domain_scores_gemma":[0.9951107,0.0004018002,0.0001835942,0.0003048205,0.001880361,0.002118706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001051578,0.00001905109,0.0004267875,0.0001167377,0.000001285213,0.00004908478,0.0002436369,0.00001536243,0.00009492583,0.01312027,0.8709449,0.1149575],"study_design_scores_gemma":[7.525676e-7,0.000001904014,0.0003724748,0.00003813086,3.464128e-7,0.0000356727,0.00004332998,0.000007539214,0.00001887094,0.0003254168,0.999154,0.000001518766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001319273,0.02002685,0.001804253,0.0257729,0.009444967,0.0001155611,0.001277323,0.0008316753,0.9394071],"genre_scores_gemma":[0.008805527,0.01469329,0.003782621,0.006598976,0.001730644,0.0001665287,0.001583191,0.0002192628,0.96242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1431475,"threshold_uncertainty_score":0.4788762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05197160962562516,"score_gpt":0.4140756831533657,"score_spread":0.3621040735277405,"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."}}