{"id":"W2783025291","doi":"10.1111/imig.12536","title":"Fiscal Pressure of Migration and Horizontal Fiscal Inequality: Evidence from Indian Experience","year":2018,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Economics; Extant taxon; Prosperity; Inequality; Fiscal policy; State (computer science); Per capita; Horizontal and vertical; Development economics; Geography; Macroeconomics; Population; Economic growth; Demography; Sociology","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":[0.0007036515,0.00007989425,0.000160979,0.0009487211,0.001199917,0.001119531,0.0002513305,0.0001633091,0.004003176],"category_scores_gemma":[0.003489176,0.00009223501,0.0001433983,0.00218802,0.001205859,0.0006056331,0.001296177,0.0006610127,0.0002234364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005247801,"about_ca_system_score_gemma":0.0007758955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05094847,"about_ca_topic_score_gemma":0.06017157,"domain_scores_codex":[0.9994712,0.0001856466,0.00003041727,0.00003838044,0.00007324821,0.0002010861],"domain_scores_gemma":[0.9979863,0.0005506382,0.0007903078,0.0001409583,0.0002586837,0.0002731343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001109551,0.0001165521,0.9481032,0.0000392219,0.0000283235,0.0002639471,0.02976223,0.0001146859,0.0001490259,0.002994488,0.0008966056,0.01742071],"study_design_scores_gemma":[0.000003318077,0.00003605555,0.9217793,0.00004669995,0.00001240162,0.0001548015,0.07534361,0.0001316246,0.00008607927,0.0004527564,0.001944427,0.000008971719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975004,0.00006435285,0.00001747664,0.0002060649,0.000003290848,0.0000013494,0.00004464135,5.827885e-7,0.002161935],"genre_scores_gemma":[0.9996885,0.00008673689,0.000008438953,0.00001757181,0.000002861328,8.909381e-7,0.00002463139,4.860188e-7,0.0001697628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05094847,"threshold_uncertainty_score":0.1013038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02887615829849023,"score_gpt":0.3367428226066892,"score_spread":0.307866664308199,"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."}}