{"id":"W4413228424","doi":"10.22541/au.175489038.81543204/v1","title":"Maximizing Medicine Access through Trade Credit Optimization in Subsidized Fixed-Price Markets","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Business; Economics; Monetary economics; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003832704,0.0009999493,0.00152542,0.0006862764,0.0006607128,0.003489665,0.001183621,0.00204302,0.00777324],"category_scores_gemma":[0.01150251,0.0006957869,0.001067255,0.0006699769,0.002505722,0.003612198,0.001839111,0.002160732,0.0003233135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00283117,"about_ca_system_score_gemma":0.002425275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006126331,"about_ca_topic_score_gemma":0.003383441,"domain_scores_codex":[0.9983646,0.0008285858,0.00006307213,0.0003194812,0.0001423275,0.0002818492],"domain_scores_gemma":[0.9947561,0.003276911,0.0009959691,0.0002315423,0.0003512151,0.0003882489],"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":[0.0003290946,0.0001480145,0.001685623,0.0001306444,0.00005248248,0.0002666297,0.0001006166,0.8698911,0.0008974011,0.1152214,0.001055621,0.01022135],"study_design_scores_gemma":[0.0001070706,0.0001008894,0.0005527813,0.0000379089,0.0000333064,0.00003644255,0.0000789788,0.8976337,0.0004046106,0.09984346,0.001147749,0.00002310834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.306721,0.001052692,0.6667279,0.001852626,0.0001321677,0.0004501859,0.000554875,0.0002657874,0.02224283],"genre_scores_gemma":[0.9814488,0.0002847908,0.01502633,0.00006764505,0.00002781941,0.00008664823,0.00006265536,0.00002262368,0.002972689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00777324,"threshold_uncertainty_score":0.02600414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375188240134168,"score_gpt":0.3509317293321494,"score_spread":0.2134129053187326,"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."}}