{"id":"W2941160047","doi":"10.3233/978-1-61499-951-5-36","title":"Adoption Strategies for Electronic Patient Portals: Employing Advanced Data Mining and Analytics","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Analytics; Patient portal; Promotion (chess); Knowledge management; Business; Data science; Computer science; Health care; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01108905,0.0006862421,0.0005080279,0.009912289,0.0009076245,0.005620572,0.0009442308,0.0006567041,0.001208398],"category_scores_gemma":[0.04952042,0.0002905922,0.0009983982,0.009041475,0.0005981346,0.005178121,0.001611026,0.001211403,0.0003379425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281784,"about_ca_system_score_gemma":0.003940291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014922,"about_ca_topic_score_gemma":0.01403486,"domain_scores_codex":[0.9913135,0.004183264,0.001226324,0.0005890676,0.002401558,0.0002863098],"domain_scores_gemma":[0.9385899,0.04258768,0.007534822,0.002511786,0.007949043,0.00082682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001135566,0.0008816518,0.5668472,0.0008691382,0.0002552738,0.0002031793,0.009225214,0.002722561,0.001093944,0.009438208,0.003096412,0.4052537],"study_design_scores_gemma":[0.0001315571,0.001664183,0.6371266,0.004030953,0.0007027215,0.001196232,0.08430098,0.1838933,0.01115725,0.03278833,0.04260898,0.0003989063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8679372,0.002822012,0.09529734,0.007218262,0.00009581567,0.00188631,0.00219587,0.001035731,0.02151139],"genre_scores_gemma":[0.8719095,0.001570161,0.1238849,0.0002679688,0.00003686858,0.0003708292,0.00115685,0.0000447984,0.0007580902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01108905,"threshold_uncertainty_score":0.05864525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310664993343808,"score_gpt":0.4853591723657613,"score_spread":0.3542926730313805,"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."}}