{"id":"W2092804364","doi":"10.2196/medinform.2510","title":"Bridging Organizational Divides in Health Care: An Ecological View of Health Information Exchange","year":2013,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine","keywords":"Health information exchange; Health care; Health information technology; Workflow; Business; Knowledge management; Information exchange; Nursing; Context (archaeology); Health informatics; Medicine; Public relations; Public health; Health information; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008046505,0.0005136332,0.0004517378,0.008425565,0.00789368,0.01244571,0.001974285,0.002374144,0.003325477],"category_scores_gemma":[0.01181294,0.000796383,0.0008481624,0.004301244,0.0415734,0.0170771,0.01118246,0.001735906,0.0002666212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008559006,"about_ca_system_score_gemma":0.006811415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335721,"about_ca_topic_score_gemma":0.008335168,"domain_scores_codex":[0.9903876,0.006867541,0.0002652098,0.0007363526,0.0009529137,0.0007904575],"domain_scores_gemma":[0.9851735,0.009909335,0.001545842,0.00105844,0.0009363485,0.001376583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006430286,0.00016192,0.05462721,0.0003825558,0.0001001953,0.0009397347,0.2537189,0.002662288,0.0009806004,0.6493874,0.001018161,0.03595679],"study_design_scores_gemma":[0.00005090602,0.0001993894,0.06351395,0.0007685344,0.00009179737,0.001400333,0.4265136,0.008655078,0.0004184112,0.4334122,0.06489982,0.00007600681],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.666613,0.00741903,0.09294207,0.03040017,0.0001766747,0.0004284076,0.0001737786,0.0001662341,0.2016807],"genre_scores_gemma":[0.98928,0.0009916975,0.00833547,0.0004309063,0.000043406,0.00009021001,0.00003279536,0.00001687018,0.0007786333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335721,"threshold_uncertainty_score":0.06210023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04043686571487842,"score_gpt":0.4130927150468403,"score_spread":0.3726558493319619,"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."}}