{"id":"W4393525065","doi":"10.1161/jaha.123.034118","title":"Population Trends of New Prescriptions for Antihyperglycemics and Antihypertensives Between 2014 and 2022","year":2024,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University; Ontario Brain Institute; University of Calgary; Health Sciences Centre; University Health Network; Dalhousie University; University of Toronto; Western University; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Medical prescription; Medicine; Pandemic; Population; Diabetes mellitus; Internal medicine; Coronavirus disease 2019 (COVID-19); Demography; Environmental health; Disease; Pharmacology; 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":[0.0005563479,0.0002444907,0.0002741385,0.001088152,0.0003293743,0.0007163297,0.0008725546,0.0003755526,0.001844218],"category_scores_gemma":[0.002123449,0.000170197,0.0007706099,0.001514807,0.0002907923,0.0004288196,0.0004721417,0.0006100077,0.000326503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004372569,"about_ca_system_score_gemma":0.00377205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6256447,"about_ca_topic_score_gemma":0.6287082,"domain_scores_codex":[0.9993913,0.00004891619,0.00005578163,0.000125026,0.0002102729,0.0001686969],"domain_scores_gemma":[0.9977273,0.0001134168,0.001063943,0.00007204351,0.0007143166,0.0003089566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000712539,0.00001178078,0.9970691,0.00002409651,0.00008459802,0.00002514994,0.00008491131,0.0001905199,0.0001075772,0.00004261205,0.0009962751,0.001292244],"study_design_scores_gemma":[0.000003171611,0.00001759079,0.9989871,0.00001004236,0.00001746747,0.00004221735,0.0001219285,0.0003005228,0.00003051815,0.000009925422,0.000455477,0.00000388485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706165,0.0009658489,0.0002945438,0.0004447839,0.00002332155,0.00002190467,0.0254523,0.0000527145,0.002128109],"genre_scores_gemma":[0.986387,0.0004363717,0.000178097,0.00009664056,0.00002142708,0.00002426634,0.01226082,0.000005830373,0.0005895203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6256447,"threshold_uncertainty_score":0.7531198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301504216967969,"score_gpt":0.3766951806787052,"score_spread":0.3336801385090256,"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."}}