{"id":"W3122492515","doi":"","title":"Chronic Poverty in Kazakhstan","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Chronic poverty; Panel data; Spell; Quarter (Canadian coin); Development economics; Population; Psychological intervention; Measuring poverty; Economics; Demographic economics; Economic growth; Geography; Poverty reduction; Medicine; Environmental health; Econometrics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005525861,0.0001382484,0.0002867349,0.001024963,0.001226074,0.001245354,0.0001993695,0.0002394797,0.0015328],"category_scores_gemma":[0.0009736244,0.0001305356,0.000229778,0.00242137,0.0005347701,0.0005130706,0.001537899,0.0003133893,0.0001354925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121485,"about_ca_system_score_gemma":0.001596636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05292454,"about_ca_topic_score_gemma":0.05631114,"domain_scores_codex":[0.9995104,0.0001534765,0.00003652827,0.00005366181,0.00004652793,0.0001993736],"domain_scores_gemma":[0.9995583,0.00005957749,0.0002212454,0.00002792162,0.00005112717,0.00008178464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009471595,0.00006143538,0.9750772,0.00009957502,0.00007525591,0.00042838,0.004922842,0.0004863485,0.0002529649,0.002213657,0.001779908,0.01450759],"study_design_scores_gemma":[0.000005985389,0.00004480189,0.9894189,0.00006479502,0.00002382492,0.0002271531,0.006566418,0.0003243934,0.00005300984,0.0008935644,0.002368678,0.00000855418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974057,0.0006028718,0.00007188661,0.0004352153,0.00001034545,0.000003760233,0.0004999831,0.000003678557,0.0009665052],"genre_scores_gemma":[0.9993771,0.0002500252,0.00002880053,0.00004732577,0.000005949184,0.00000379319,0.0001891163,5.113101e-7,0.00009749684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05292454,"threshold_uncertainty_score":0.105233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261710958502827,"score_gpt":0.2848788035137172,"score_spread":0.2587077076634345,"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."}}