{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003681578,0.0000790493,0.0002725555,0.0001991731,0.0002438169,0.0002675173,0.0001396103,0.00004545698,0.0001583359],"category_scores_gemma":[0.0001011698,0.00006468369,0.00006215234,0.0001661224,0.00005925533,0.0006916517,0.000007323868,0.0002888626,0.000002069799],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009912045,"about_ca_system_score_gemma":0.01038745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032756,"about_ca_topic_score_gemma":0.02238639,"domain_scores_codex":[0.9984122,0.0002476537,0.0007516643,0.0001160759,0.0001268964,0.0003454961],"domain_scores_gemma":[0.9990295,0.0001245978,0.0003247616,0.00004616917,0.00006645208,0.0004085035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000579336,0.0001652603,0.03415251,0.0005147434,0.00008497987,0.00002723528,0.05629606,0.001487282,3.605763e-7,0.3098912,0.01901445,0.578308],"study_design_scores_gemma":[0.001069966,0.001424012,0.01806596,0.001685621,0.000007945811,0.0001054622,0.03477225,0.02559856,0.000003032748,0.00986197,0.907038,0.0003672314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1986911,0.00267766,0.0228707,0.7700616,0.002186971,0.0002439811,0.00001877476,0.00002629305,0.003223013],"genre_scores_gemma":[0.9581422,0.001236566,0.03438001,0.004657876,0.001134875,0.000004484933,0.000006623955,0.00001676058,0.0004206698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8880236,"threshold_uncertainty_score":0.9954525,"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."}}