{"id":"W3122795326","doi":"","title":"Chronic and Transient Poverty: Measurement and Estimation, with Evidence from China","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Poverty; Transient (computer programming); Vulnerability (computing); Chronic poverty; China; Econometrics; Yield (engineering); Estimation; Panel data; Statistics; Economics; Development economics; Mathematics; Computer science; Geography; Economic growth; Poverty reduction; Physics; Computer security","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":[0.004290687,0.0005221469,0.0006102822,0.002366066,0.0009227642,0.0008601357,0.0007918582,0.0003869316,0.001367896],"category_scores_gemma":[0.008269111,0.0002436102,0.0007026427,0.005789398,0.0009309763,0.0009550755,0.0017521,0.0005955682,0.0001163901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960347,"about_ca_system_score_gemma":0.002270292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1887102,"about_ca_topic_score_gemma":0.1776726,"domain_scores_codex":[0.9987552,0.0004917345,0.0001257946,0.0001885561,0.0002264616,0.0002122348],"domain_scores_gemma":[0.9912305,0.002968441,0.002691458,0.00133007,0.001310238,0.0004694507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009537002,0.00008220289,0.977831,0.0001053437,0.0003141482,0.0002563741,0.0007918455,0.002218371,0.0001199872,0.001805789,0.0009769811,0.01540258],"study_design_scores_gemma":[0.00002101222,0.00005820646,0.9922363,0.00003653844,0.0001686568,0.00005097812,0.0008865744,0.00465755,0.0001241412,0.0008968022,0.0008501051,0.000013195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969523,0.0007327669,0.0005935986,0.0002902081,0.000005370985,0.00002406323,0.0006484857,0.000005710926,0.0007474906],"genre_scores_gemma":[0.9981346,0.0004187039,0.0004475637,0.00003208609,0.00001047098,0.00001892085,0.0007185794,0.000001814062,0.0002171043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1887102,"threshold_uncertainty_score":0.3752236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318928058486507,"score_gpt":0.3049697284927116,"score_spread":0.2517804479078466,"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."}}