{"id":"W2154384183","doi":"10.12927/hcq.2011.22157","title":"From Benefits Evaluation to Clinical Adoption: Making Sense of Health Information System Success in Canada","year":2011,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Work (physics); Knowledge management; Information system; Process management; Business; Public relations; Psychology; Computer science; Political science; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009676989,0.0002540972,0.0009782236,0.0003216657,0.0003920337,0.000007439268,0.0002390463,0.0003204015,0.0001058064],"category_scores_gemma":[0.0001790371,0.000260774,0.00006472966,0.0006364836,0.00001639852,0.0004812516,0.00003245051,0.0009385785,0.0001551573],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007949186,"about_ca_system_score_gemma":0.03003402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99055,"about_ca_topic_score_gemma":0.9886757,"domain_scores_codex":[0.9860795,0.006264203,0.004880884,0.000449194,0.00100558,0.001320637],"domain_scores_gemma":[0.9952545,0.0005909764,0.001932753,0.0007193731,0.001003557,0.0004988614],"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":[0.0003114974,0.00004280124,0.4601101,0.003711107,0.00002589918,0.000005170393,0.05379826,0.00002610922,4.242218e-7,0.002672898,0.001371813,0.4779239],"study_design_scores_gemma":[0.001600591,0.001217457,0.9163181,0.004407989,0.00001276552,0.000005923042,0.07250409,0.002265743,0.000001059207,0.00007809397,0.001323443,0.000264735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831993,0.0007355689,0.0009164884,0.003968812,0.005124479,0.004828493,0.0002332765,0.00009431579,0.0008992887],"genre_scores_gemma":[0.9952374,0.00002007486,0.0006783622,0.002926583,0.0004883059,0.0005011937,0.0001116862,0.00003045862,0.000005915203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4776592,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1791693900775812,"score_gpt":0.4558665305472916,"score_spread":0.2766971404697104,"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."}}