{"id":"W1456001213","doi":"","title":"A Comparison of National Health Data Interoperability Approaches in Taiwan, Denmark and Canada","year":2011,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Mandate; Government (linguistics); Cross-domain interoperability; Demographics; Affect (linguistics); Semantic interoperability; Work (physics); Population; Business; Computer science; Political science; Environmental health; World Wide Web; Medicine; Engineering; Demography; Sociology; Law","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":[0.006296468,0.0002330021,0.0003936737,0.00446695,0.00351401,0.004639056,0.0009955144,0.0005020631,0.001116603],"category_scores_gemma":[0.02052402,0.00024105,0.0007610868,0.008584256,0.001154231,0.00135606,0.002931614,0.0006826268,0.0001117609],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04097734,"about_ca_system_score_gemma":0.04479131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9427972,"about_ca_topic_score_gemma":0.9603474,"domain_scores_codex":[0.9922097,0.00148405,0.000766086,0.0004464979,0.003225334,0.001868417],"domain_scores_gemma":[0.9857771,0.002912753,0.001142446,0.0005317166,0.008046467,0.001589462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001352508,0.000344735,0.721938,0.0007929734,0.0007398532,0.001502754,0.02869506,0.0110671,0.004204595,0.0725586,0.006769536,0.1500344],"study_design_scores_gemma":[0.00009909895,0.0001548384,0.8886988,0.0005298133,0.0003334211,0.0004235957,0.05970028,0.0061875,0.002803105,0.00172855,0.03916682,0.0001741428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488237,0.001714677,0.001249401,0.001110026,0.00002452987,0.0001137225,0.0007743813,0.00003417524,0.04615548],"genre_scores_gemma":[0.9952891,0.0008632693,0.001281972,0.0001489054,0.000002647192,0.00003870478,0.0009392455,0.000014692,0.001421562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9590226,"threshold_uncertainty_score":0.2973129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4213569423431938,"score_gpt":0.4862343281172483,"score_spread":0.0648773857740545,"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."}}