{"id":"W1697105975","doi":"","title":"Measuring EMR Adoption: A Framework and Case Study","year":2011,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Meaningful use; Electronic medical record; Business; Medical record; Best practice; Knowledge management; Medicine; Computer science; Medical emergency; Health care; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04640101,0.001240995,0.0008929772,0.007380682,0.006575067,0.005884713,0.003387601,0.004406773,0.001647493],"category_scores_gemma":[0.02673721,0.0008028529,0.00150641,0.008321943,0.008167435,0.007484926,0.007158501,0.002931989,0.0002412703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01637617,"about_ca_system_score_gemma":0.008628758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04785718,"about_ca_topic_score_gemma":0.0483179,"domain_scores_codex":[0.9397458,0.05158985,0.001583843,0.001807622,0.003597825,0.001675084],"domain_scores_gemma":[0.9675739,0.02587959,0.001676279,0.00113881,0.003110013,0.0006213842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000344101,0.004876085,0.1668707,0.002157869,0.0002459568,0.0100221,0.308908,0.01448541,0.004506526,0.2782231,0.005118858,0.2042413],"study_design_scores_gemma":[0.0005155249,0.004785546,0.1181163,0.005645992,0.0004258938,0.008871903,0.5762989,0.1037584,0.007696547,0.09741712,0.0759068,0.0005611609],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7640778,0.004041749,0.165445,0.01133626,0.0001231412,0.007568865,0.0007219889,0.0001628831,0.04652229],"genre_scores_gemma":[0.7600925,0.001490944,0.2335361,0.0003846676,0.00002288996,0.003013928,0.0002328763,0.00002520984,0.001200863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04785718,"threshold_uncertainty_score":0.2453949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2704660183414286,"score_gpt":0.4484251466089348,"score_spread":0.1779591282675062,"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."}}