{"id":"W2044535401","doi":"10.1007/s00148-007-0151-x","title":"On the contribution of sectoral natural population growth to the aggregate poverty change","year":2007,"lang":"en","type":"article","venue":"Journal of Population Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quebec Statistical Institute","funders":"","keywords":"Poverty; Economics; Population growth; Population; Development economics; Social policy; Decomposition; Differential (mechanical device); Demographic economics; Economic growth; Demography; Biology; Market economy; Sociology","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":[0.00270636,0.0002983789,0.0005199232,0.0007761502,0.0006985159,0.001444803,0.0005602615,0.000863136,0.004713826],"category_scores_gemma":[0.01237475,0.0002196285,0.0006659276,0.0009553272,0.001584835,0.001096337,0.001628719,0.001353049,0.0002527148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191736,"about_ca_system_score_gemma":0.001108355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224697,"about_ca_topic_score_gemma":0.009478811,"domain_scores_codex":[0.9995219,0.0002119764,0.00001832194,0.00006111445,0.00008669621,0.000100029],"domain_scores_gemma":[0.99324,0.005203879,0.000376265,0.0002903867,0.0006115856,0.000277913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009333806,0.0002184309,0.2283638,0.0003630446,0.00061088,0.001313505,0.000961928,0.2928176,0.00270009,0.3758591,0.0114365,0.08442161],"study_design_scores_gemma":[0.00006963468,0.0002285861,0.2081136,0.0001208347,0.0005904825,0.0005986743,0.002064957,0.3840459,0.001781862,0.3826589,0.01962561,0.0001009494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211819,0.003596116,0.01530045,0.0164941,0.0003978507,0.00004234957,0.0008089613,0.00008073409,0.04209762],"genre_scores_gemma":[0.996169,0.001338613,0.0004942927,0.0001974057,0.0001352938,0.000008385859,0.00005875351,0.00001170279,0.001586529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224697,"threshold_uncertainty_score":0.02435136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025264802584011,"score_gpt":0.3098480690024701,"score_spread":0.26959542097663,"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."}}