{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009439223,0.0002404376,0.0007197346,0.000275645,0.0001094395,0.0000315213,0.0003569344,0.00004594449,0.0001451747],"category_scores_gemma":[0.004774238,0.0002055939,0.00006625127,0.0003954577,0.00007810302,0.0009906121,0.0002374201,0.0002425192,0.000007611942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193884,"about_ca_system_score_gemma":0.0002689198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8255597,"about_ca_topic_score_gemma":0.837115,"domain_scores_codex":[0.9939184,0.002608885,0.001787163,0.00077771,0.0004873701,0.0004205155],"domain_scores_gemma":[0.9854747,0.01324731,0.0006794246,0.0003371963,0.0001512506,0.0001101032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003807392,0.000158671,0.9757528,0.00008177474,0.0000375065,9.201027e-7,0.0006169585,0.0003510938,0.00002282615,0.001592002,0.006476467,0.01452823],"study_design_scores_gemma":[0.004184281,0.00004445423,0.959512,0.0001014306,0.0000893854,8.172086e-7,0.000944418,0.009282888,0.0009536458,0.002007477,0.02253962,0.0003395793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900799,0.00002906604,0.002081325,0.003773843,0.0007048597,0.001708811,0.0009386029,0.000006079845,0.0006775241],"genre_scores_gemma":[0.9947448,0.00004230475,0.001575685,0.0007317545,0.00006449965,0.00007727902,0.001791605,0.000009550981,0.0009625279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01624081,"threshold_uncertainty_score":0.8383877,"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."}}