{"id":"W3125273474","doi":"","title":"Intergenerational Transfer, Human Capital and Long-Term Growth in China Under the One Child Policy","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Human capital; Counterfactual thinking; Harm; Economics; Investment (military); Download; China; Consumption (sociology); One-child policy; Developing country; Overlapping generations model; Growth model; Labour economics; Social security; Demographic economics; Monetary economics; Economic growth; Macroeconomics; Political science; Medicine; Family planning; Psychology; Market economy","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":[0.001142839,0.0005019321,0.0003561645,0.0004440169,0.0006030612,0.001164334,0.0005330325,0.0006246289,0.002686216],"category_scores_gemma":[0.001122026,0.0001199888,0.0004714821,0.0007278011,0.0009339222,0.0009245838,0.0007352109,0.0004828849,0.0001326111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003813182,"about_ca_system_score_gemma":0.002665167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06256847,"about_ca_topic_score_gemma":0.04533203,"domain_scores_codex":[0.9997789,0.00004898937,0.000009931205,0.00004117183,0.00002222649,0.00009891596],"domain_scores_gemma":[0.9994499,0.0001538472,0.0002105425,0.00004003882,0.0000643446,0.00008128228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001189369,0.0007502896,0.2946247,0.0003168981,0.0002580272,0.003821858,0.001367943,0.465589,0.007161024,0.15375,0.005513057,0.06565783],"study_design_scores_gemma":[0.0004956701,0.001076684,0.3711532,0.0001309914,0.0004131396,0.0003009593,0.002093012,0.497305,0.004627582,0.1111802,0.01109083,0.0001328112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905078,0.0003541891,0.001795396,0.001153563,0.00002256108,0.00003657253,0.0003516618,0.00003279785,0.005745384],"genre_scores_gemma":[0.9982662,0.0002355128,0.000208614,0.00003883363,0.000005325925,0.00001588803,0.00007989106,0.000002341815,0.001147459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06256847,"threshold_uncertainty_score":0.1244086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175521663864994,"score_gpt":0.2045615834408219,"score_spread":0.192806366802172,"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."}}