{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005736826,0.0002966646,0.000693394,0.0002149855,0.00004000798,0.00001353627,0.0006565484,0.000291716,0.000588497],"category_scores_gemma":[0.002066067,0.0001861375,0.0006475726,0.0006969142,0.0001956391,0.00001539473,0.0004324226,0.001012407,0.0004701533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006980788,"about_ca_system_score_gemma":0.001905926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411184,"about_ca_topic_score_gemma":0.001635873,"domain_scores_codex":[0.9972798,0.0002125,0.0006629023,0.0006952372,0.0008679636,0.000281591],"domain_scores_gemma":[0.9970765,0.0002195272,0.0002123683,0.00185655,0.0001599439,0.0004750714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005066624,0.0002035048,0.9927123,0.0003127386,0.0004500564,0.000007313533,0.0004816386,0.0006524571,0.00003433954,0.00002623426,0.002861275,0.002207513],"study_design_scores_gemma":[0.0008794984,0.0003121286,0.9943193,0.001637283,0.0002891568,0.00000498697,0.00001253741,0.0003732964,0.00002709309,0.0003120932,0.001662422,0.0001702179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937209,0.000364486,0.00006570293,0.001495719,0.0003096567,0.001747453,0.00004638033,0.00004950129,0.00220021],"genre_scores_gemma":[0.9962181,0.0002312323,0.00003002508,0.0006728605,0.00007449852,0.0005105764,0.00008164472,0.00003020264,0.002150791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01247597,"threshold_uncertainty_score":0.9924533,"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."}}