{"id":"W2795355414","doi":"","title":"The Long-Term Impact of Education on Mortality and Health: Evidence from Sweden","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Regression discontinuity design; CLARITY; Regression analysis; Identification (biology); Instrumental variable; Demographic economics; Estimation; Medicine; Term (time); Regression; Psychology; Demography; Econometrics; Gerontology; Economics; Statistics; Sociology; Mathematics","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":[0.005441951,0.0004899862,0.001262378,0.00379711,0.0004531043,0.002545126,0.000689601,0.0008804083,0.004455053],"category_scores_gemma":[0.02166972,0.0002955815,0.002502572,0.003713008,0.001259862,0.000805289,0.002583977,0.001022707,0.0005982738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149884,"about_ca_system_score_gemma":0.002504222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03443713,"about_ca_topic_score_gemma":0.03003185,"domain_scores_codex":[0.995793,0.001840563,0.0006059442,0.0005280333,0.0007718376,0.0004606216],"domain_scores_gemma":[0.9724573,0.01714971,0.006763319,0.001416805,0.001557073,0.0006556963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002235015,0.0005002386,0.835993,0.01192317,0.008480414,0.00113868,0.003108148,0.002624345,0.0002721898,0.003981179,0.005644459,0.1240992],"study_design_scores_gemma":[0.0001332428,0.0004725962,0.9663576,0.009447752,0.005250077,0.0003595353,0.002099056,0.0003018244,0.0003914875,0.001953901,0.01317832,0.00005475521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368534,0.1433926,0.0009434975,0.004993561,0.0002899591,0.00003686608,0.004615236,0.00003098785,0.008843919],"genre_scores_gemma":[0.9487575,0.04654941,0.0003655165,0.0005917057,0.000210221,0.00003239364,0.00252538,0.00002352468,0.0009443589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03443713,"threshold_uncertainty_score":0.06847334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2129185204733432,"score_gpt":0.5213099775427668,"score_spread":0.3083914570694236,"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."}}