{"id":"W2073071088","doi":"10.1002/hec.1337","title":"Distributional consequences of the transition from age‐based to income‐based prescription drug coverage in British Columbia, Canada","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Subsidy; Equity (law); Payment; Medical prescription; Finance; Public economics; Public finance; Prescription drug; Public health; Business; Health care; Economics; Economic growth; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001372366,0.0002243916,0.0006954246,0.001392696,0.003918503,0.003009997,0.002055306,0.000976957,0.004647099],"category_scores_gemma":[0.007692072,0.0002228568,0.0006290702,0.00335744,0.001476108,0.0006273402,0.001577656,0.001937888,0.0002562299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09477469,"about_ca_system_score_gemma":0.05251287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979174,"about_ca_topic_score_gemma":0.9985901,"domain_scores_codex":[0.9972866,0.0002910683,0.00009648375,0.0001968017,0.0005367961,0.00159222],"domain_scores_gemma":[0.9950184,0.000546644,0.0004187753,0.0001646437,0.002369482,0.001482082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002226722,0.0006452522,0.8338634,0.0001502108,0.0004558828,0.002591204,0.003143417,0.0329616,0.001583099,0.02179447,0.04022825,0.0603564],"study_design_scores_gemma":[0.0001135806,0.00006135743,0.9738262,0.00005015758,0.00006096395,0.0001471582,0.004969184,0.01225695,0.0003203734,0.001804226,0.006312457,0.00007744509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821969,0.0005948942,0.0001850201,0.004800333,0.00004117327,0.00004987419,0.003721214,0.0000294774,0.008380928],"genre_scores_gemma":[0.995454,0.0002116205,0.00009754005,0.0004241333,0.000005225429,0.00001197044,0.0009754056,0.000007912473,0.002812137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09477469,"threshold_uncertainty_score":0.6876417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461558150409289,"score_gpt":0.3276307379853922,"score_spread":0.1814749229444633,"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."}}