{"id":"W3123321870","doi":"10.1257/aer.20210937","title":"Multigenerational Impacts of Childhood Access to the Safety Net: Early Life Exposure to Medicaid and the Next Generation’s Health","year":2022,"lang":"en","type":"preprint","venue":"American Economic Review","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; California Center for Population Research, University of California, Los Angeles; National Institute of Child Health and Human Development; University of California, Davis; University of Pennsylvania; Centers for Disease Control and Prevention; Universität Mannheim; University of Notre Dame; University of Connecticut; University of Southern California; San Diego State University; York University; Purdue University; Uppsala Universitet; National Science Foundation","keywords":"Medicaid; Offspring; Psychological intervention; Demography; In utero; Safety net; Environmental health; Medicine; Low birth weight; Gerontology; Pregnancy; Health care; Economics; Nursing; Economic growth; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002753604,0.0001953125,0.0003054039,0.0009963295,0.0002900682,0.001027061,0.0003023622,0.000606647,0.005667282],"category_scores_gemma":[0.007274173,0.0001076389,0.0006187375,0.0009530153,0.0004180542,0.000618857,0.001112008,0.00066845,0.000166104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042577,"about_ca_system_score_gemma":0.001114267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02097319,"about_ca_topic_score_gemma":0.03256159,"domain_scores_codex":[0.9990085,0.000575189,0.00002726364,0.00007489994,0.0001260055,0.0001881875],"domain_scores_gemma":[0.9954145,0.002902451,0.001035513,0.0001816717,0.0002341068,0.0002317038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005104422,0.0004748624,0.8209699,0.0003194077,0.001669587,0.0007870362,0.0005769293,0.01287523,0.000611742,0.05308096,0.008457153,0.09966672],"study_design_scores_gemma":[0.00008046838,0.0004411085,0.945576,0.0003290197,0.001618611,0.0002363089,0.001583356,0.008764513,0.0008728994,0.01792602,0.02254217,0.00002953262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492009,0.009009778,0.002330306,0.009727076,0.0001780907,0.00007046209,0.002749676,0.00001385571,0.02671988],"genre_scores_gemma":[0.9893593,0.004754391,0.000576549,0.0008219369,0.00008322408,0.00003874249,0.0006319522,0.000004388829,0.003729555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02097319,"threshold_uncertainty_score":0.04170221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112219895347125,"score_gpt":0.4526341191203198,"score_spread":0.3414121295856072,"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."}}