{"id":"W3124135553","doi":"","title":"Measuring Lifetime Poverty","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Poverty; Economics; Consumption (sociology); Independence (probability theory); Dominance (genetics); Snapshot (computer storage); Econometrics; Development economics; Mathematics; Economic growth; Statistics; Sociology; Computer science; Social science","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":[0.00273512,0.0005901907,0.0004033362,0.002878967,0.001415628,0.002373263,0.001156625,0.0007177852,0.004524582],"category_scores_gemma":[0.01134674,0.0002388656,0.0005414924,0.002229413,0.001387895,0.005860116,0.003293064,0.001467823,0.00055805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304771,"about_ca_system_score_gemma":0.001148757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001873497,"about_ca_topic_score_gemma":0.001881066,"domain_scores_codex":[0.996624,0.001177307,0.0002429181,0.0005905346,0.00108149,0.0002837717],"domain_scores_gemma":[0.9933959,0.00224638,0.001269226,0.0009826039,0.001774,0.0003319094],"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":[0.00007459868,0.0001054549,0.03305406,0.0002014871,0.00006964384,0.0000940447,0.001485143,0.006220189,0.002037103,0.8149043,0.006308359,0.1354456],"study_design_scores_gemma":[0.00001169939,0.0001547039,0.03298045,0.0002948557,0.00005152123,0.0007116222,0.002702572,0.02950682,0.003828759,0.8652748,0.0643535,0.0001286061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1691502,0.001494897,0.7341263,0.003174191,0.0003072841,0.0002536694,0.004566025,0.0002809441,0.08664659],"genre_scores_gemma":[0.8037085,0.001106175,0.1878295,0.0003396762,0.0001510831,0.0004363812,0.001949003,0.00007405866,0.004405561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004524582,"threshold_uncertainty_score":0.01513624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0940077486847678,"score_gpt":0.3536838277853251,"score_spread":0.2596760791005573,"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."}}