{"id":"W4401507799","doi":"10.1016/j.jpubeco.2024.105194","title":"Estimating intergenerational health transmission in Taiwan with administrative health records","year":2024,"lang":"en","type":"article","venue":"Journal of Public Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Tinbergen Institute; National Taiwan University of Science and Technology; National Science and Technology Council; Adelphi University; Universität Hohenheim; Agricultural and Applied Economics Association; Research Institute, Georgia Institute of Technology","keywords":"Economics; Transmission (telecommunications); Public economics; Telecommunications; Computer science","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":[0.004246355,0.000440677,0.0004841466,0.002917232,0.0005384278,0.001072837,0.0009555598,0.0005214071,0.001281249],"category_scores_gemma":[0.01394974,0.0004172746,0.001217848,0.004040107,0.0003329193,0.0008239854,0.001570643,0.0008405644,0.0003213302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009891227,"about_ca_system_score_gemma":0.001061394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07387162,"about_ca_topic_score_gemma":0.04306423,"domain_scores_codex":[0.9976962,0.001086875,0.0003529583,0.0004291115,0.0002370704,0.0001977896],"domain_scores_gemma":[0.9894407,0.003841886,0.003932564,0.001725734,0.0007675381,0.000291525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003345252,0.00003580347,0.9934691,0.00001669838,0.00031358,0.0001075658,0.0001870983,0.001763716,0.00004574441,0.0001921082,0.0002778828,0.003557215],"study_design_scores_gemma":[0.00001808323,0.00007737061,0.9622495,0.00004695141,0.0001940385,0.0001682835,0.000668389,0.03501983,0.000134958,0.0005820642,0.0008155836,0.0000249223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933727,0.0001808039,0.002575922,0.0001636686,0.000007473215,0.0000502227,0.003069607,0.00003220029,0.0005474309],"genre_scores_gemma":[0.9941058,0.00007576805,0.001501929,0.00002664441,0.000006848909,0.00006679241,0.003941698,0.000004499153,0.000269992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07387162,"threshold_uncertainty_score":0.1468832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08965261406990453,"score_gpt":0.3979211158242909,"score_spread":0.3082685017543864,"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."}}