{"id":"W2991393765","doi":"10.1057/s41302-019-00158-z","title":"Chinese Hukou Policy and Rural-to-Urban Migrants’ Health: Evidence from Matching Methods","year":2019,"lang":"en","type":"article","venue":"Eastern Economic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"China; Propensity score matching; Inequality; Demographic economics; Matching (statistics); Rural area; Political science; Economics; Medicine","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":[0.001668162,0.0001257446,0.0002565925,0.000142575,0.000345287,0.0004085501,0.0002885033,0.0000576892,0.0006551937],"category_scores_gemma":[0.0001438806,0.0001128726,0.00006379311,0.00009270773,0.00004474396,0.0005814333,0.00005807039,0.0002301665,0.000383555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099438,"about_ca_system_score_gemma":0.0004813473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01807042,"about_ca_topic_score_gemma":0.02266957,"domain_scores_codex":[0.9985306,0.0004565902,0.0003725231,0.0001824612,0.0001193248,0.0003385264],"domain_scores_gemma":[0.9988945,0.0002553767,0.0002549231,0.0001495216,0.00002683255,0.0004189089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000573615,0.0000200839,0.7103605,0.00001289722,0.00006083653,0.00000228849,0.2028437,0.0005646065,0.0005798973,0.004269585,0.001063305,0.08016496],"study_design_scores_gemma":[0.002342968,0.000327859,0.7803484,0.001119733,0.0000315076,0.0001038067,0.06119874,0.01797519,0.00001588897,0.02645978,0.1087449,0.001331305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796306,0.0006719317,0.003678334,0.01391813,0.000920701,0.0001665085,0.00001264671,0.00002268106,0.0009784091],"genre_scores_gemma":[0.9848757,0.0008034779,0.006178022,0.00215165,0.00153863,0.000001778734,0.000001826681,0.00001682286,0.004432066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1416449,"threshold_uncertainty_score":0.9951642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616266619436234,"score_gpt":0.3886948650845967,"score_spread":0.3625321988902344,"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."}}