{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006344028,0.0003188153,0.0006518073,0.000424287,0.0008832681,0.0002389322,0.001395331,0.0008225511,0.0003357601],"category_scores_gemma":[0.002319441,0.0003530428,0.0003043026,0.0002004459,0.0008391345,0.0002206152,0.001255484,0.00233025,0.00009800558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002819445,"about_ca_system_score_gemma":0.002508575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005829685,"about_ca_topic_score_gemma":0.005277911,"domain_scores_codex":[0.9946737,0.001325679,0.0007686535,0.0009988833,0.000861174,0.001371853],"domain_scores_gemma":[0.997337,0.0007206746,0.0002247543,0.001057515,0.0002597937,0.0004002446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007083153,0.001941551,0.1731005,0.001055171,0.0007090741,0.0004366495,0.07135337,0.00974153,0.0001698791,0.02813013,0.01566029,0.6969936],"study_design_scores_gemma":[0.0009895863,0.000099727,0.02420225,0.000426754,0.00001382065,0.000006655199,0.005155291,0.002367307,0.0001473058,0.01129783,0.953806,0.001487403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1768286,0.0001847222,0.000002302584,0.001155563,0.00119279,0.0007095376,0.00005269565,0.00009735091,0.8197765],"genre_scores_gemma":[0.9181212,0.06255828,0.0004031882,0.0006003543,0.00204548,0.0001626993,0.00004392915,0.0000874492,0.01597746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9381458,"threshold_uncertainty_score":0.9999714,"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."}}