{"id":"W4417300028","doi":"10.1002/hec.70073","title":"Physician Agency and the Zero‐Markup Drug Policy in China: Evidence From a Structural Model","year":2025,"lang":"en","type":"article","venue":"Health Economics","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"National Natural Science Foundation of China","keywords":"Agency (philosophy); Government (linguistics); Profit margin; Medical prescription; Margin (machine learning); Drug; Prescription drug; Profit (economics); Public policy","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":[0.002620006,0.0005945986,0.001339961,0.001615424,0.001032112,0.001984146,0.001254897,0.001011562,0.004708298],"category_scores_gemma":[0.005403342,0.0004351908,0.001369401,0.001867341,0.001654227,0.001388414,0.001336873,0.001094282,0.0003125875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006215634,"about_ca_system_score_gemma":0.004759632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1641395,"about_ca_topic_score_gemma":0.09763176,"domain_scores_codex":[0.9985306,0.0004747608,0.00008057632,0.000231663,0.0001766379,0.0005057023],"domain_scores_gemma":[0.9912077,0.004200869,0.003037854,0.0003815224,0.0005373836,0.0006346729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001356486,0.001076175,0.5883256,0.0003272136,0.0009549141,0.001700678,0.001106792,0.2929741,0.001780391,0.07808241,0.004251895,0.02806348],"study_design_scores_gemma":[0.0005673468,0.0005641882,0.2534379,0.00004753322,0.0005792532,0.000116531,0.000725139,0.7203533,0.0008980638,0.019387,0.003228493,0.00009522674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937744,0.000422141,0.001988824,0.001062806,0.00001466586,0.00003405956,0.0003266693,0.00003846212,0.002337977],"genre_scores_gemma":[0.9986614,0.000254602,0.0002111176,0.0000425365,0.0000156667,0.000007847516,0.0001507883,0.000003378669,0.0006526696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641395,"threshold_uncertainty_score":0.3263682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05291110647401798,"score_gpt":0.3329417634204527,"score_spread":0.2800306569464348,"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."}}