{"id":"W2008270664","doi":"10.5430/jha.v3n6p66","title":"Using social knowledge networking technology to enable meaningful use of electronic health record technology in hospitals and health systems","year":2014,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Meaningful use; Electronic health record; Health records; Health information technology; Knowledge management; Business; Medicine; Psychology; Health care; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005109688,0.000260009,0.001245816,0.001165673,0.0005105818,0.00002708835,0.0002478112,0.0004801415,0.000002978284],"category_scores_gemma":[0.0004215607,0.0002540145,0.00007109235,0.001107483,0.00006941295,0.0003192301,0.00008849886,0.001463702,0.00000464035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00233399,"about_ca_system_score_gemma":0.005200193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008097842,"about_ca_topic_score_gemma":0.002840751,"domain_scores_codex":[0.9942214,0.000948505,0.002857234,0.0003435184,0.0003063476,0.001322988],"domain_scores_gemma":[0.9953142,0.0002687178,0.003370933,0.0002393272,0.0005462312,0.0002605931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.0004411399,0.001099944,0.8308248,0.004391192,0.0001928607,0.00001914091,0.01515934,0.0002330834,0.0008308886,0.08738611,0.004689184,0.05473232],"study_design_scores_gemma":[0.02141578,0.4119237,0.09669281,0.04568083,0.0002877838,0.001361853,0.07671908,0.0291227,0.0009022582,0.07964166,0.2313267,0.004924844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730168,0.00320679,0.003792782,0.01634674,0.001913151,0.001585448,0.000004164374,0.0000530615,0.00008109518],"genre_scores_gemma":[0.9967262,0.0003410519,0.001669411,0.0001876708,0.0009229099,0.00004433576,0.00000289858,0.00004678631,0.00005875757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.734132,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06924669216203132,"score_gpt":0.4404043833927863,"score_spread":0.371157691230755,"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."}}