{"id":"W4225085559","doi":"10.1136/bmjhci-2021-100540","title":"‘Improving smart medication management’: an online expert discussion","year":2022,"lang":"en","type":"review","venue":"BMJ Health & Care Informatics","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"BD","keywords":"SAFER; Patient safety; Medicine; Health care; Quality (philosophy); Electronic prescribing; Medical emergency; Nursing; Medical education; Computer science; Pharmacy; Political science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01566161,0.0009104498,0.001989289,0.002688544,0.0008984105,0.002630715,0.001876626,0.006280405,0.01050651],"category_scores_gemma":[0.0229411,0.0003949312,0.002279014,0.002595685,0.001259926,0.005753107,0.00278181,0.00461725,0.00218273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831745,"about_ca_system_score_gemma":0.005653353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669286,"about_ca_topic_score_gemma":0.004269017,"domain_scores_codex":[0.9915947,0.004656254,0.001039564,0.0004762582,0.001863958,0.0003692076],"domain_scores_gemma":[0.9822254,0.0119351,0.001034473,0.0003294606,0.003838443,0.0006369954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001135929,0.0001036796,0.0001637219,0.07671907,0.0002460461,0.0004356164,0.001512964,0.0001744214,0.000950676,0.007518379,0.262881,0.6491809],"study_design_scores_gemma":[0.0000411211,0.00009783819,0.0002671269,0.05615148,0.0001939877,0.0006113424,0.0004792458,0.00005838537,0.0001978649,0.002269014,0.939598,0.00003448007],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004174233,0.9186774,0.0009553329,0.06314512,0.01219051,0.0002081782,0.0001350856,0.00003939082,0.004231534],"genre_scores_gemma":[0.00449767,0.9149135,0.00292872,0.06424961,0.008319366,0.0003134285,0.0001787586,0.00003404414,0.004564827],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01566161,"threshold_uncertainty_score":0.08282751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1792363599041764,"score_gpt":0.4692982898272082,"score_spread":0.2900619299230317,"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."}}