{"id":"W2104065516","doi":"10.2139/ssrn.2403896","title":"The Impact of Migration on Rural Poverty and Inequality: A Case Study in China","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Poverty; China; Inequality; Development economics; Geography; Demographic economics; Socioeconomics; Economic growth; Political science; Economics","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":[0.0008639655,0.0003613857,0.000422932,0.001427587,0.004682756,0.001274174,0.001028864,0.001151285,0.001943441],"category_scores_gemma":[0.001166176,0.0001945197,0.0004536932,0.002751169,0.002311936,0.0009064305,0.002607438,0.0007407893,0.00009868599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004838007,"about_ca_system_score_gemma":0.003438234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1935435,"about_ca_topic_score_gemma":0.3143786,"domain_scores_codex":[0.9992021,0.000276044,0.00001786648,0.0000441694,0.00006157372,0.0003983306],"domain_scores_gemma":[0.9992921,0.000238781,0.0001277107,0.0000387242,0.00007656198,0.0002260197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004957154,0.001550952,0.8188895,0.0002396435,0.0001723832,0.03065529,0.08002067,0.006755461,0.002086976,0.01634463,0.002333118,0.04045567],"study_design_scores_gemma":[0.00005796267,0.0006271759,0.7536581,0.0001410534,0.0001556015,0.002388526,0.2209874,0.01293935,0.0007326879,0.003233945,0.004996183,0.00008204177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986466,0.00005548945,0.00004032822,0.0001495746,0.000001660126,0.000006475028,0.00001583485,0.000001312641,0.001082796],"genre_scores_gemma":[0.9994826,0.00007557537,0.0000442467,0.00001752388,0.000002463511,0.000004898318,0.00001031817,8.652067e-7,0.0003613335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1935435,"threshold_uncertainty_score":0.384834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00909300914136074,"score_gpt":0.3207809339597066,"score_spread":0.3116879248183458,"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."}}