{"id":"W3122130224","doi":"","title":"Lifetime Inequality Measures For An Emerging Economy: The Case of Chile","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Economics; Perspective (graphical); Dimension (graph theory); Economic inequality; Construct (python library); Distribution (mathematics); Demographic economics; Economic geography","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":[0.001039565,0.0001864265,0.0003478409,0.001402679,0.0006600105,0.001480612,0.000672102,0.0004393767,0.00358371],"category_scores_gemma":[0.00279511,0.00009886109,0.0003618318,0.001720607,0.0008253888,0.001668857,0.001404285,0.0008743052,0.0002009156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502563,"about_ca_system_score_gemma":0.0006702329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06682244,"about_ca_topic_score_gemma":0.03276892,"domain_scores_codex":[0.9997814,0.0000832137,0.000008792844,0.00003265465,0.00002899574,0.00006498092],"domain_scores_gemma":[0.9985459,0.0006792386,0.0003485952,0.0001040081,0.0001903397,0.0001320763],"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":[0.0005428423,0.000451705,0.3716075,0.000484614,0.0002813755,0.004419711,0.007367517,0.09258077,0.001094113,0.4600017,0.00968583,0.0514824],"study_design_scores_gemma":[0.0001184201,0.0002194442,0.3991489,0.0003065093,0.0002047859,0.001052513,0.02080088,0.3549447,0.0008455337,0.2009763,0.02125274,0.0001292321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782926,0.001139289,0.004289164,0.00143214,0.00001106075,0.00003005683,0.001245905,0.00001255165,0.01354709],"genre_scores_gemma":[0.9962697,0.0005865894,0.0008163494,0.00002946518,0.00001108863,0.00002357066,0.0004463578,0.000005039753,0.001811848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9331776,"threshold_uncertainty_score":0.132867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09270544418389551,"score_gpt":0.3293937816194499,"score_spread":0.2366883374355544,"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."}}