{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003116868,0.00009752919,0.000110853,0.00009097737,0.0001816838,0.0001216039,0.0002216355,0.0001214473,0.0004649444],"category_scores_gemma":[0.0006605633,0.00009662374,0.00003891113,0.0001670292,0.0003292474,0.000815122,0.0000392594,0.00008298502,0.00001460865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005498962,"about_ca_system_score_gemma":0.00006552562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01746849,"about_ca_topic_score_gemma":0.2733054,"domain_scores_codex":[0.998605,0.0001566928,0.0003117541,0.0002495888,0.0005523644,0.0001245574],"domain_scores_gemma":[0.9991494,0.0001691998,0.0001879697,0.0001228466,0.0002895367,0.00008099026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001873236,0.0001231656,0.5989407,0.000012412,0.00006944264,0.000002589408,0.3399211,0.00002294846,0.02339925,0.02316847,0.002241217,0.01191129],"study_design_scores_gemma":[0.0009762733,0.0005215263,0.7359389,0.0004482446,0.00008495359,0.00000531933,0.03775045,0.05589741,0.01961427,0.006577699,0.1414241,0.0007608368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901641,0.000109614,0.003477336,0.004621561,0.0005812118,0.0001668076,0.00008749977,0.00003794665,0.0007539264],"genre_scores_gemma":[0.9974506,0.000210559,0.0007721213,0.0001382344,0.0006749397,0.00001902925,0.00008797336,0.00000596161,0.0006406054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3021707,"threshold_uncertainty_score":0.9890743,"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."}}