{"id":"W2089247281","doi":"10.1007/s40266-013-0095-7","title":"Rationalizing Prescribing for Older Patients with Multimorbidity: Considering Time to Benefit","year":2013,"lang":"en","type":"review","venue":"Drugs & Aging","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":150,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Institute on Aging; Agency for Healthcare Research and Quality","keywords":"Medicine; Harm; Randomized controlled trial; Multimorbidity; Clinical trial; MEDLINE; Adverse effect; Pharmacotherapy; Intensive care medicine; Family medicine; Psychiatry; Chronic disease; Internal medicine; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005018638,0.000546324,0.002890936,0.0006349708,0.0003659749,0.0003297483,0.0003839544,0.0002280856,0.0006407844],"category_scores_gemma":[0.001495573,0.0006132906,0.0003282739,0.0002372423,0.00003276042,0.0006405883,0.0001375056,0.0002624996,0.005791396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000879199,"about_ca_system_score_gemma":0.0002288696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003011637,"about_ca_topic_score_gemma":0.00001173647,"domain_scores_codex":[0.9937221,0.0001481899,0.004193248,0.001092853,0.0001526953,0.0006908501],"domain_scores_gemma":[0.9938207,0.002097206,0.002965654,0.000647149,0.0001864841,0.0002828668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002023966,0.0004476267,0.003127669,0.09062912,0.002032473,0.000002741429,0.01328059,0.001063392,1.574508e-7,0.02725829,0.1905402,0.6715975],"study_design_scores_gemma":[0.0005964613,0.00002283625,0.0001040028,0.007414269,0.00007427648,0.000001495798,0.00005651128,0.001064458,1.382651e-7,0.0003184308,0.9896145,0.0007325546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006125,0.9791581,0.005062595,0.001859259,0.0007059146,0.008866752,0.001243618,0.0001671078,0.002324123],"genre_scores_gemma":[0.0003422316,0.7582045,0.1603012,0.02934789,0.005305747,0.0173392,0.007629522,0.001834019,0.01969567],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7990744,"threshold_uncertainty_score":0.9996318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.314673091186179,"score_gpt":0.4191448579017268,"score_spread":0.1044717667155479,"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."}}