{"id":"W2592465029","doi":"10.1097/cin.0000000000000336","title":"The Relationship Between Magnet Designation, Electronic Health Record Adoption, and Medicare Meaningful Use Payments","year":2017,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ambrose University","funders":"National Institute on Minority Health and Health Disparities","keywords":"Incentive; Odds; Electronic health record; Incentive program; Payment; Business; Odds ratio; Health information technology; Receipt; Medicine; Electronic medical record; Medical record; Health care; Logistic regression; Family medicine; Accounting; Finance; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005692745,0.0001358389,0.0001880162,0.001373266,0.0004635646,0.001236764,0.0004413571,0.0004779367,0.002835308],"category_scores_gemma":[0.06043549,0.0001335915,0.0003907024,0.001794154,0.0004888778,0.001003743,0.001163077,0.00109436,0.0001889293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291239,"about_ca_system_score_gemma":0.001121875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004436924,"about_ca_topic_score_gemma":0.006238841,"domain_scores_codex":[0.9936743,0.002941814,0.0007488877,0.0003123439,0.001545932,0.0007767056],"domain_scores_gemma":[0.9041334,0.03252166,0.0522429,0.001696532,0.004261614,0.005143854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006788765,0.00008147054,0.9957736,0.000007386792,0.00002122687,0.00001854394,0.00007432111,0.00004854951,0.00003320937,0.0001005418,0.0001250287,0.00364835],"study_design_scores_gemma":[0.000003673322,0.00008477624,0.9991352,0.00001036669,0.000008208198,0.00006290087,0.0001729062,0.0002085007,0.0000317392,0.00005873152,0.0002195106,0.000003519656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972863,0.00023441,0.0003097734,0.0008464301,0.00001109443,0.00001662908,0.0001281908,0.000006598284,0.001160535],"genre_scores_gemma":[0.9994143,0.00005124408,0.0002030961,0.0000887542,0.00002077038,0.000009119555,0.000085696,0.000001764093,0.0001253264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005692745,"threshold_uncertainty_score":0.03010648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218197611064921,"score_gpt":0.427935651500026,"score_spread":0.3061158903935339,"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."}}