{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.122058,0.0007864715,0.001282426,0.009891571,0.01634871,0.01999953,0.003478596,0.002628863,0.001546246],"category_scores_gemma":[0.257836,0.0006929295,0.0007942523,0.0101092,0.02806668,0.008830921,0.01399754,0.006180281,0.0001008237],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2435566,"about_ca_system_score_gemma":0.4075301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9474278,"about_ca_topic_score_gemma":0.9470477,"domain_scores_codex":[0.8145858,0.1008537,0.009676378,0.003750909,0.0596974,0.01143584],"domain_scores_gemma":[0.7035173,0.1468501,0.0212366,0.005312639,0.09689072,0.02619274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003955447,0.0003922836,0.2436723,0.001714708,0.0003181649,0.0009576947,0.2607114,0.003216665,0.0004682599,0.12682,0.01909886,0.3422341],"study_design_scores_gemma":[0.0002540964,0.0008426086,0.3481246,0.00791401,0.0004559037,0.0004366417,0.4510708,0.01337414,0.001738471,0.07938513,0.09561642,0.000787135],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5152994,0.01347609,0.01809659,0.3416638,0.000465789,0.001437067,0.0004809732,0.0002173366,0.108863],"genre_scores_gemma":[0.9924688,0.001157341,0.004009404,0.001719842,0.00002904465,0.0001173949,0.00003958602,0.00001522186,0.0004434067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7564434,"threshold_uncertainty_score":0.8773671,"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."}}