{"id":"W4297998822","doi":"10.32920/ryerson.14638719.v2","title":"Empirical Issues in Lifetime Poverty Measurement","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":2,"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; Econometrics; Consumption (sociology); Perspective (graphical); Basic needs; Demographic economics; Statistics; Sociology; Computer science; Economic growth; 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":[0.07985591,0.0005794847,0.0009846404,0.003148451,0.002585713,0.004725011,0.004366429,0.001799689,0.003935458],"category_scores_gemma":[0.2734823,0.0005236641,0.0008235096,0.008291771,0.00771,0.009918866,0.00648641,0.004215864,0.0004751047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338239,"about_ca_system_score_gemma":0.001815738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007648845,"about_ca_topic_score_gemma":0.004308647,"domain_scores_codex":[0.9316004,0.05286887,0.004200207,0.003976271,0.006383973,0.0009702166],"domain_scores_gemma":[0.8114257,0.1401948,0.01358219,0.01881085,0.01439186,0.001594508],"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":[0.00006836723,0.0001097003,0.06057184,0.0004850508,0.000212886,0.00009213521,0.007104085,0.002044594,0.0001175189,0.8267357,0.01012753,0.09233054],"study_design_scores_gemma":[0.00002110631,0.0001361991,0.06221756,0.001353367,0.00006971944,0.000334614,0.01289787,0.009727582,0.0006257229,0.8518005,0.0607315,0.00008439344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1896528,0.02676606,0.5929855,0.07779026,0.002960391,0.0009748813,0.006447304,0.0002578768,0.102165],"genre_scores_gemma":[0.8626194,0.004308798,0.1185187,0.004945331,0.001283964,0.002233333,0.001911886,0.0001596145,0.004019004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07985591,"threshold_uncertainty_score":0.4223235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290637715549173,"score_gpt":0.3992600411610134,"score_spread":0.2701962696060961,"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."}}