{"id":"W7098338925","doi":"","title":"EDITORIAL Medication Reconciliation: More than Just a Best Possible Medication History","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accreditation; Health care; Work (physics); Patient safety; MEDLINE; Process (computing); Best practice","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":[0.00539598,0.001910477,0.002414205,0.00211904,0.00187513,0.005568308,0.003108029,0.01222442,0.01294668],"category_scores_gemma":[0.03994426,0.0008180646,0.001166703,0.00147246,0.004409619,0.003818537,0.0009907593,0.01578026,0.007343466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685187,"about_ca_system_score_gemma":0.002796652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234194,"about_ca_topic_score_gemma":0.002033649,"domain_scores_codex":[0.9933669,0.001335796,0.0006626731,0.0008519463,0.003469534,0.000313193],"domain_scores_gemma":[0.9411527,0.03441286,0.003044081,0.00175801,0.01596799,0.003664287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003161572,0.00002078625,0.00006856568,0.0002322832,0.00001231544,0.000165534,0.00001591019,0.00004193159,0.00002574737,0.0006613492,0.9917341,0.006989796],"study_design_scores_gemma":[0.0000758126,0.0000634582,0.0006695925,0.001111737,0.00004291283,0.001008973,0.0000813304,0.0003409689,0.0002502462,0.003074205,0.9932476,0.00003317046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000170014,0.004993365,0.0003806745,0.09234503,0.8991089,0.00002324227,0.0001437423,0.0000982459,0.002736758],"genre_scores_gemma":[0.002145435,0.003362304,0.0002313598,0.02332725,0.9671222,0.00001816448,0.00003487811,0.00002748622,0.003731037],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01294668,"threshold_uncertainty_score":0.04331088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05900327375573772,"score_gpt":0.2271885368282577,"score_spread":0.1681852630725199,"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."}}