{"id":"W4406731639","doi":"10.1101/2025.01.21.25320791","title":"Modelling the impact of changes to prescription medicine cost-sharing schemes among middle aged and older adults","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medical prescription; Gerontology; Medicine; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002867618,0.0007628422,0.0008499706,0.0009027403,0.0003232195,0.001913835,0.001861862,0.002145695,0.01024862],"category_scores_gemma":[0.0124405,0.0006229645,0.002577152,0.001282086,0.0005601149,0.001641846,0.001570403,0.001797548,0.0006488192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005123918,"about_ca_system_score_gemma":0.003334752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1147434,"about_ca_topic_score_gemma":0.0677905,"domain_scores_codex":[0.9983711,0.000822878,0.00009765913,0.0002379246,0.0001192075,0.0003511515],"domain_scores_gemma":[0.9954627,0.003007518,0.0005446923,0.0001872395,0.0004079968,0.0003898408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007056491,0.000348649,0.04325174,0.0003151765,0.0003791337,0.0002141652,0.000245873,0.9372101,0.0003183672,0.006859263,0.002073426,0.008078422],"study_design_scores_gemma":[0.0005502754,0.0007766072,0.04083973,0.0002565765,0.0004025079,0.0000972854,0.0008273092,0.9384809,0.0003245479,0.008805594,0.008545771,0.00009289971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623053,0.0008553888,0.009013944,0.002720747,0.0001529157,0.0004410759,0.01161679,0.0001203718,0.01277343],"genre_scores_gemma":[0.9899514,0.0002664718,0.003283968,0.0002767447,0.0000246471,0.0002789862,0.002057359,0.00002196788,0.003838394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1147434,"threshold_uncertainty_score":0.2281511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245899008535493,"score_gpt":0.3228488154196551,"score_spread":0.1982589145661058,"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."}}