{"id":"W2395592957","doi":"","title":"National health information management/information technology strategies in Hong Kong, Taiwan and Singapore.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Government (linguistics); Business; Health care; Information system; Public health; Health information; Information management; Economic growth; Public relations; Knowledge management; Medicine; Political science; Nursing; Computer science","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":[0.002036449,0.0001381585,0.0001174322,0.000916835,0.0009181935,0.001872829,0.0003604285,0.0003718974,0.003304294],"category_scores_gemma":[0.002878904,0.000132253,0.000166959,0.002926982,0.0005016508,0.00126874,0.001431261,0.0003131408,0.0004519344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008937972,"about_ca_system_score_gemma":0.01900969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1957676,"about_ca_topic_score_gemma":0.2207828,"domain_scores_codex":[0.9989663,0.0003304714,0.0002457321,0.00006621226,0.0001680628,0.0002232619],"domain_scores_gemma":[0.9973924,0.0005993407,0.0005942496,0.00009365362,0.0005772279,0.00074306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003602971,0.0003919841,0.3427259,0.003130223,0.0001675133,0.00339815,0.04932211,0.001413668,0.001949095,0.02491034,0.06113887,0.5110919],"study_design_scores_gemma":[0.00008005273,0.0004915893,0.6062318,0.001687052,0.0001778776,0.001029498,0.1107746,0.001506086,0.002807364,0.001229953,0.2739175,0.00006676376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8366698,0.03877681,0.0006981539,0.03415088,0.0001856325,0.0004505529,0.003110616,0.000110792,0.08584683],"genre_scores_gemma":[0.9649576,0.01221597,0.001321598,0.002145465,0.00002299651,0.000163546,0.001259386,0.00001036933,0.01790307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957676,"threshold_uncertainty_score":0.3892563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290234581280702,"score_gpt":0.3517469168597765,"score_spread":0.3227234587317063,"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."}}