{"id":"W7132894754","doi":"","title":"Impact of Pharmacist-Led Post-Discharge Medication Reconciliation on Hospital Readmission Rates","year":2022,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Hospital readmission; Pharmacy; Medication Reconciliation; MEDLINE; Clinical pharmacy; Program evaluation","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":[0.002958803,0.0002827691,0.000562936,0.0004629479,0.0005038922,0.001316511,0.0008202126,0.0009547204,0.007381],"category_scores_gemma":[0.02418167,0.0002389355,0.002666256,0.000362026,0.0002145894,0.0008490102,0.001610197,0.001624485,0.0006390532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002641844,"about_ca_system_score_gemma":0.004149062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01691283,"about_ca_topic_score_gemma":0.02781273,"domain_scores_codex":[0.9955805,0.00243331,0.0004275904,0.0002892159,0.0005839382,0.0006853838],"domain_scores_gemma":[0.9898811,0.003676095,0.002727429,0.0004364382,0.0008950764,0.00238392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.04334084,0.01276581,0.4334579,0.001828109,0.003320529,0.0002682277,0.0006603875,0.0054964,0.0004578654,0.0007385223,0.02717491,0.4704905],"study_design_scores_gemma":[0.003209346,0.01275129,0.9720724,0.0009109519,0.001522348,0.0001343666,0.0005795598,0.004155536,0.0004365963,0.0002847496,0.0038638,0.00007908146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787958,0.002717102,0.0002328581,0.005800329,0.0003897989,0.0002289314,0.00198133,0.000134112,0.00971969],"genre_scores_gemma":[0.9959893,0.0006887711,0.0004313719,0.0008265391,0.0001883073,0.00009381397,0.0007857893,0.00001909145,0.0009772043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01691283,"threshold_uncertainty_score":0.03362876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356507004319498,"score_gpt":0.3883644788082425,"score_spread":0.3647994087650476,"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."}}