{"id":"W2162070466","doi":"10.18433/j37k5w","title":"Prevalence and Predictors of Potential Drug-Drug Interactions in the Elderly: A Cross-Sectional Study in the Brazilian Primary Public Health System","year":2012,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cross-sectional study; Medical prescription; Logistic regression; Drug; Medical record; Public health; Odds ratio; Internal medicine; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009018239,0.0001901049,0.0003842759,0.0007984237,0.0003403919,0.0004403113,0.0002534614,0.0003227041,0.0008338002],"category_scores_gemma":[0.00255147,0.0003305168,0.0003825376,0.0008546665,0.0002613453,0.0003026564,0.0004054323,0.0003093492,0.0001058135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003979795,"about_ca_system_score_gemma":0.0004058291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02587681,"about_ca_topic_score_gemma":0.03117615,"domain_scores_codex":[0.9995143,0.0001264859,0.00008179235,0.00008838027,0.0001208679,0.00006821049],"domain_scores_gemma":[0.9985152,0.0002449192,0.0007292425,0.00009145367,0.0002149786,0.0002043185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009058032,0.00001869895,0.9992458,0.00001222967,0.00001867482,0.00002979896,0.0001082064,0.000004370039,0.00005210415,0.000003785198,0.00002255543,0.0004748655],"study_design_scores_gemma":[0.000002259354,0.00005736711,0.9993303,0.00001275039,0.00001624114,0.0001425242,0.0002981625,0.00003720758,0.00001295613,0.000005674044,0.00008324924,0.000001349132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989472,0.0003968034,0.00004368752,0.0000649534,0.000002435203,0.00001445306,0.0002176915,0.000001938039,0.0003108776],"genre_scores_gemma":[0.9994974,0.0002588797,0.00005643568,0.00003747511,0.000003783177,0.000006343489,0.0001081442,4.840896e-7,0.00003100772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02587681,"threshold_uncertainty_score":0.0514524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1904816503718167,"score_gpt":0.4897542575108871,"score_spread":0.2992726071390704,"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."}}