{"id":"W3203324917","doi":"10.4103/cjrm.cjrm_74_20","title":"Patient satisfaction with a pharmacist-led best possible medication discharge plan via tele-robot in a remote and rural community hospital","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Rural Medicine","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacist; Medicine; Medication Reconciliation; Medical prescription; Patient satisfaction; Medical emergency; Community hospital; Medication therapy management; Emergency medicine; Family medicine; Nursing; Pharmacy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086374,0.0001951528,0.0002859898,0.0003019203,0.0007412801,0.000891272,0.0003427825,0.0004050761,0.00500434],"category_scores_gemma":[0.004617997,0.0002222135,0.0004027837,0.0003556142,0.0003243799,0.0004363641,0.000759937,0.0006099895,0.0003639756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009092024,"about_ca_system_score_gemma":0.001133625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0044314,"about_ca_topic_score_gemma":0.006369347,"domain_scores_codex":[0.9990238,0.0003995477,0.00007841022,0.00009715132,0.0001914583,0.0002096052],"domain_scores_gemma":[0.9963961,0.0008895762,0.001118645,0.0001023057,0.0004227409,0.001070641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001490279,0.00503345,0.9314358,0.0002683158,0.0001054715,0.001893845,0.009056167,0.0003641229,0.001789848,0.00004605087,0.001688772,0.04682782],"study_design_scores_gemma":[0.0002292055,0.01327484,0.9555529,0.00008734343,0.00007728699,0.001577295,0.02537477,0.001543153,0.000577261,0.00003476893,0.001603154,0.00006796101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996192,0.00001820598,0.00003315111,0.00007231088,0.000001966913,0.00002133608,0.00003674743,0.000003539961,0.0001933533],"genre_scores_gemma":[0.9996083,0.00003440127,0.00009336878,0.00008219934,0.000002838993,0.00001608983,0.00003027658,0.000001361838,0.0001310325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00500434,"threshold_uncertainty_score":0.01674122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085240988182474,"score_gpt":0.3366940685214963,"score_spread":0.2858416586396716,"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."}}