{"id":"W2965162069","doi":"10.1002/pds.4861","title":"Validation of drug prescription records for senior patients in Alberta's Tomorrow Project: Assessing agreement between two population‐level administrative pharmaceutical databases in Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Health; University of Alberta","funders":"Alberta Cancer Foundation","keywords":"Medicine; Medical prescription; Database; Medical record; Socioeconomic status; Cohort; Pharmacoepidemiology; Population; Family medicine; Demography; Environmental health; Internal medicine; Pharmacology; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0167095,0.0006084455,0.0007192985,0.004994975,0.00208294,0.002572521,0.00326027,0.0006729913,0.001033977],"category_scores_gemma":[0.04404806,0.0005739945,0.0007638115,0.00928711,0.001207956,0.0007548871,0.002992648,0.000673853,0.0002752337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02221791,"about_ca_system_score_gemma":0.03027227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9736736,"about_ca_topic_score_gemma":0.9781302,"domain_scores_codex":[0.9826632,0.002713574,0.001559486,0.001903259,0.009793165,0.00136744],"domain_scores_gemma":[0.9510033,0.006641888,0.01091842,0.002964696,0.02610384,0.002367873],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001016144,0.00002208457,0.9929823,0.00005827556,0.0001317083,0.0000335938,0.0006775196,0.0002938119,0.0001054535,0.0001074313,0.0008011163,0.004684979],"study_design_scores_gemma":[0.000009440796,0.00001836039,0.9966493,0.0000746329,0.00004747268,0.00003716939,0.0007527728,0.0009869308,0.0001541319,0.00002464744,0.001234347,0.00001078326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764945,0.001272341,0.00185031,0.0004932027,0.00005089035,0.0003086057,0.01551906,0.00007035853,0.003940806],"genre_scores_gemma":[0.9823086,0.000368369,0.002629255,0.000230709,0.00002064213,0.0001026846,0.01354448,0.00001474177,0.0007804338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9832905,"threshold_uncertainty_score":0.161203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2259439955820089,"score_gpt":0.4808991853069036,"score_spread":0.2549551897248947,"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."}}