{"id":"W2588986549","doi":"","title":"Hemophilia in Taiwan: A population-based study on epidemiology, age at diagnosis, mortality, and 13-year trend by National Health Insurance Research Database 1997-2009","year":2012,"lang":"en","type":"article","venue":"Haemophilia","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Epidemiology; National health insurance; National Health Interview Survey; National database; Population; Pediatrics; Demography; Environmental health; Family medicine; Database; Pathology","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":[0.0006101555,0.0003333687,0.0005366681,0.001458735,0.0003720972,0.0005850019,0.0005689139,0.0005611789,0.000953094],"category_scores_gemma":[0.00126672,0.0004832273,0.0008328354,0.003598528,0.0002381483,0.0007048949,0.0006061768,0.0006213511,0.0002194891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000876195,"about_ca_system_score_gemma":0.0008546566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05035059,"about_ca_topic_score_gemma":0.04884633,"domain_scores_codex":[0.9994625,0.00007036389,0.0001350025,0.0001604158,0.0000787329,0.00009287902],"domain_scores_gemma":[0.9987876,0.0001178817,0.0005374078,0.0001241087,0.0002264651,0.0002065631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007395004,0.0000162002,0.9991073,0.000009785327,0.00008496214,0.00004167949,0.00004739008,0.00002585072,0.00009122229,0.000008425317,0.0001469583,0.0003462195],"study_design_scores_gemma":[0.000006518464,0.00002468207,0.9994924,0.000005070513,0.00003809724,0.00008101124,0.0001482242,0.00009086085,0.000016945,0.000004689892,0.00008883447,0.000002569768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951065,0.0002490114,0.00004905571,0.00005351659,0.000005028898,0.00001065156,0.004263933,0.000004794075,0.0002576122],"genre_scores_gemma":[0.9949131,0.0001905356,0.00006168271,0.00003983831,0.000007253364,0.00002245575,0.004592566,0.000002573507,0.0001700298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05035059,"threshold_uncertainty_score":0.100115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2448657016124716,"score_gpt":0.4760619409545732,"score_spread":0.2311962393421016,"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."}}