{"id":"W4285464897","doi":"10.32920/ryerson.14638719","title":"Empirical Issues in Lifetime Poverty Measurement","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"United Nations University World Institute for Development Economics Research; Department for International Development; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Poverty; Pairwise comparison; Economics; Weighting; Consumption (sociology); Perspective (graphical); Econometrics; Basic needs; Demographic economics; Development economics; Statistics; Sociology; Economic growth; Computer science; Mathematics; 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":[0.07998224,0.0005823022,0.0009898188,0.003162243,0.00259266,0.004724601,0.004365131,0.001802443,0.003959482],"category_scores_gemma":[0.2737172,0.0005259893,0.0008301004,0.008337398,0.007721394,0.009941692,0.006518743,0.004226333,0.0004769578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342086,"about_ca_system_score_gemma":0.001817108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00767444,"about_ca_topic_score_gemma":0.004315081,"domain_scores_codex":[0.9314758,0.05296929,0.004206324,0.003980608,0.006395744,0.0009723394],"domain_scores_gemma":[0.8112563,0.1404129,0.01353905,0.01883753,0.01436298,0.001591265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000682157,0.0001094772,0.06015228,0.0004862024,0.000213404,0.00009181624,0.007061107,0.002038859,0.0001173862,0.8275944,0.0101175,0.09194924],"study_design_scores_gemma":[0.00002109612,0.000135511,0.06169537,0.001350938,0.00006986001,0.0003321845,0.01278468,0.00965173,0.0006233146,0.8525164,0.06073495,0.00008405439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.188767,0.02681191,0.593918,0.07772952,0.002966943,0.0009786513,0.006479673,0.0002585287,0.1020898],"genre_scores_gemma":[0.8613319,0.004354344,0.1196422,0.004961872,0.001295523,0.00226009,0.001939865,0.0001619306,0.00405218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07998224,"threshold_uncertainty_score":0.4229916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233864243348388,"score_gpt":0.3921049880232647,"score_spread":0.2687185636884259,"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."}}