{"id":"W4400905307","doi":"10.1016/j.jeph.2024.202764","title":"Assessing agreement between population-level administrative pharmaceutical databases and patient-reported medication dispensation in cardiac rehabilitation patients","year":2024,"lang":"en","type":"article","venue":"Journal of Epidemiology and Population Health","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; Total (Canada); Alberta Health Services; Libin Cardiovascular Institute of Alberta; University of Alberta; University of Calgary","funders":"Cumming School of Medicine, University of Calgary","keywords":"Pharmacoepidemiology; Rehabilitation; Medicine; Patient data; Medical emergency; Database; Intensive care medicine; Physical therapy; Computer science; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003834927,0.0001300551,0.0005874144,0.0002720474,0.000101639,0.00001767521,0.00002135685,0.00008929086,0.00002260934],"category_scores_gemma":[0.004732018,0.000101637,0.00006800585,0.000168695,0.00006629825,0.0007809964,0.00001783923,0.0004266696,9.305901e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938347,"about_ca_system_score_gemma":0.0001288221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003758647,"about_ca_topic_score_gemma":0.00002190091,"domain_scores_codex":[0.9964203,0.001254059,0.001633469,0.0002387003,0.0002488269,0.0002046062],"domain_scores_gemma":[0.9941937,0.004490955,0.0008284946,0.00008808627,0.0001119128,0.0002867937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001493662,0.00008138268,0.9035004,0.0002794609,0.00006666534,0.000003449326,0.000445685,0.00001345179,0.000004198269,0.0009110315,0.0001605222,0.09438432],"study_design_scores_gemma":[0.0007592468,0.0006334083,0.9919378,0.000496863,0.0001515849,0.00002121,0.000222551,0.002250353,0.000002263568,0.001263491,0.002183374,0.00007787995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781492,0.002588319,0.001168183,0.01710762,0.0004362803,0.000493474,0.00002456626,0.00001030479,0.00002202406],"genre_scores_gemma":[0.99311,0.0007770578,0.004297722,0.001141323,0.0001442145,0.000005563152,0.0005117183,0.000008324724,0.000004060563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09430644,"threshold_uncertainty_score":0.566501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4482226328368892,"score_gpt":0.5705661208850553,"score_spread":0.1223434880481661,"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."}}