{"id":"W3173464900","doi":"10.1093/jamiaopen/ooab037","title":"Smart about medications (SAM): a digital solution to enhance medication management following hospital discharge","year":2021,"lang":"en","type":"article","venue":"JAMIA Open","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"McGill University Health Centre; McGill University","keywords":"Usability; Workflow; System usability scale; Medicine; Scale (ratio); Medication therapy management; Pharmacist; Medical emergency; Computer science; Heuristic evaluation; Nursing; Database; Pharmacy; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001442109,0.000386669,0.0003067194,0.0006751843,0.0002386923,0.0006724996,0.0005769642,0.0004719104,0.005085636],"category_scores_gemma":[0.005231335,0.0001826797,0.0004690516,0.0002771132,0.0001961091,0.0004932912,0.0008638157,0.0003625322,0.0009023026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742535,"about_ca_system_score_gemma":0.0006305066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002303358,"about_ca_topic_score_gemma":0.0006305532,"domain_scores_codex":[0.9991792,0.000370988,0.0001196771,0.0000681247,0.0002087741,0.00005320484],"domain_scores_gemma":[0.9975122,0.00132902,0.0004344551,0.0001861033,0.0002740236,0.0002641923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.001062703,0.001701561,0.02072452,0.001548626,0.00008385572,0.0005510895,0.001280618,0.0004818036,0.01869377,0.0003589251,0.009950665,0.9435619],"study_design_scores_gemma":[0.004630057,0.06231021,0.5519639,0.003634698,0.001647635,0.01370772,0.004627254,0.02559326,0.09527414,0.003283319,0.2327777,0.0005501327],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8926236,0.003149156,0.06851433,0.003723113,0.0004314237,0.00338449,0.001582857,0.01203797,0.01455313],"genre_scores_gemma":[0.7140532,0.002380934,0.2708016,0.001791977,0.0002976521,0.002063443,0.001245211,0.0002341404,0.007131721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005085636,"threshold_uncertainty_score":0.01701319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919696020667829,"score_gpt":0.3445249885931057,"score_spread":0.3253280283864274,"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."}}