{"id":"W2556326185","doi":"10.4018/ijhisi.2017010104","title":"Barriers to Successful Health Information Exchange Systems in Canada and the USA","year":2016,"lang":"en","type":"article","venue":"International Journal of Healthcare Information Systems and Informatics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Hort Innovation; King Khalid University; University of Ottawa; Université Laval","keywords":"Health information exchange; Language barrier; Stakeholder; Business; Information exchange; Medical record; Health records; Electronic health record; Environmental health; Political science; Medicine; Health information; Public relations; Health care; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006217856,0.0001341452,0.0004651424,0.0005422645,0.0001033406,0.0002489568,0.0002943393,0.0001191792,0.00001231099],"category_scores_gemma":[0.004580769,0.00007216279,0.0000432341,0.0001914837,0.0001004059,0.002729933,0.0001221176,0.0005762344,0.00001287018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127815,"about_ca_system_score_gemma":0.005332851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5672134,"about_ca_topic_score_gemma":0.2706393,"domain_scores_codex":[0.9945529,0.0001474507,0.003063387,0.00004593166,0.001916381,0.0002739881],"domain_scores_gemma":[0.9937865,0.001436342,0.001442749,0.0001754854,0.002504163,0.0006547234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003507884,0.0000236555,0.52406,0.009074481,0.0004119969,0.00002379877,0.04976175,0.001038533,0.000002056849,0.1737028,0.01066347,0.2277296],"study_design_scores_gemma":[0.02615223,0.001721557,0.1743392,0.01670068,0.0000369544,0.003948671,0.1062101,0.01517481,0.00001612195,0.0007377161,0.6543094,0.000652501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7772242,0.001834498,0.008553231,0.2003909,0.006107225,0.003091654,0.0003661886,0.00002142213,0.002410635],"genre_scores_gemma":[0.9867989,0.003764911,0.0001556305,0.009069032,0.0001394737,0.00002433583,0.000007782738,0.000004098017,0.00003577782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6436459,"threshold_uncertainty_score":0.946025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09817311059608243,"score_gpt":0.444857149879326,"score_spread":0.3466840392832435,"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."}}