{"id":"W4401246887","doi":"10.1101/2024.07.31.24311323","title":"IMPACT OF THE COVID-19 PANDEMIC ON ADHERENCE TO CARDIOVASCULAR MEDICATIONS AMONG CHRONICALLY TREATED PATIENTS IN ALBERTA","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; University of Alberta","funders":"Canadian Institutes of Health Research; Government of Alberta; Alberta Health Services","keywords":"Medicine; Pandemic; Medical prescription; Comorbidity; Diabetes mellitus; Internal medicine; Retrospective cohort study; Logistic regression; Drug class; Drug; Disease; Coronavirus disease 2019 (COVID-19); Emergency medicine; Pharmacology; Infectious disease (medical specialty); Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005919755,0.0001982906,0.0002225916,0.0005741467,0.0008920901,0.000792785,0.0007508497,0.0002954705,0.0009492098],"category_scores_gemma":[0.001522973,0.0002105533,0.0004119421,0.001348298,0.0004744593,0.0002128023,0.000856251,0.0005867019,0.00007633404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007654334,"about_ca_system_score_gemma":0.007754517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9163964,"about_ca_topic_score_gemma":0.9359115,"domain_scores_codex":[0.9993588,0.00008345232,0.00003853517,0.00009183153,0.0002096223,0.0002176894],"domain_scores_gemma":[0.9986961,0.00009275497,0.0005334977,0.00006207541,0.0002825713,0.0003330873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004044416,0.0000148907,0.9984668,0.000005392468,0.0000201115,0.00003587408,0.0001063297,0.00005707279,0.00005673768,0.00001895471,0.0001843631,0.0009930342],"study_design_scores_gemma":[0.000002963576,0.00001473128,0.9994457,0.00000801755,0.000007345337,0.00002200208,0.00022798,0.0001350188,0.00001409118,0.000007022203,0.0001131161,0.000002057988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998016,0.0001571626,0.00004921876,0.0001435064,0.000006768848,0.00001161794,0.0009449592,0.000003992352,0.0006667927],"genre_scores_gemma":[0.9989008,0.0001048406,0.00007791682,0.00007998654,0.000006316991,0.000006448756,0.0006080692,0.000001286449,0.0002143619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08360362,"threshold_uncertainty_score":0.1681919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0639983430545437,"score_gpt":0.3605146201384538,"score_spread":0.29651627708391,"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."}}