{"id":"W2800140883","doi":"","title":"Health, inequality and the impact of public policy. An empirical investigation of the health and health inequality impacts of education and drinking age laws.","year":2018,"lang":"en","type":"dissertation","venue":"Lund University Publications (Lund University)","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Inequality; Public health; Health equity; Health policy; Political science; Public economics; Sociology; Economics; Law; Medicine; Health care; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002046283,0.0002502687,0.0008520627,0.001675154,0.0008150271,0.00008128456,0.0004810544,0.0002309124,0.00001281915],"category_scores_gemma":[0.0004192599,0.0002225953,0.0001732899,0.002046931,0.000879422,0.0007958197,0.0001667716,0.0003033879,4.646404e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000749875,"about_ca_system_score_gemma":0.004330801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.039692,"about_ca_topic_score_gemma":0.01203084,"domain_scores_codex":[0.9976189,0.0007701093,0.0007069791,0.000446739,0.0001226416,0.0003346623],"domain_scores_gemma":[0.9957318,0.0002179217,0.002583441,0.0006584411,0.0003163538,0.0004921014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002099366,0.000255622,0.2495181,0.0005068596,0.0001839511,1.237937e-7,0.02442012,0.000001309787,0.000006480507,0.7212391,0.001000062,0.002658269],"study_design_scores_gemma":[0.001447315,0.0005679498,0.9402452,0.0001862448,0.00003468801,0.000004792007,0.0128367,0.0001103632,0.000007014274,0.007493296,0.03680349,0.0002630171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682527,0.001186394,0.0001994663,0.01236822,0.00008884445,0.0007310766,0.0005799221,0.00002484326,0.0165685],"genre_scores_gemma":[0.9813108,0.002939263,0.0003690807,0.0002712441,0.00005829475,7.30357e-7,0.0007481768,0.00002316173,0.01427928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7137458,"threshold_uncertainty_score":0.9667028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07621155052102563,"score_gpt":0.3373718725381916,"score_spread":0.261160322017166,"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."}}