{"id":"W3123110294","doi":"10.32920/ryerson.14638719.v1","title":"Empirical Issues in Lifetime Poverty Measurement","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"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; Economics; Political science; Economic growth","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003909753,0.0002452905,0.0005331113,0.00009336857,0.0001914654,0.0002726876,0.0005549084,0.0005634017,0.003626273],"category_scores_gemma":[0.001212573,0.0002182996,0.0002306346,0.0002366168,0.0001321406,0.0001379371,0.0006088296,0.0006676097,0.0001122723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009368768,"about_ca_system_score_gemma":0.001412744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05862576,"about_ca_topic_score_gemma":0.06292669,"domain_scores_codex":[0.9955973,0.001077165,0.0005378639,0.0006106858,0.001671742,0.0005052506],"domain_scores_gemma":[0.9987138,0.00008470836,0.0001219862,0.0005027511,0.0003975127,0.0001792603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008107563,0.002092036,0.351409,0.0004743088,0.0002501276,0.0001207911,0.1207559,0.0001101636,0.00009640146,0.01966674,0.4985692,0.006374273],"study_design_scores_gemma":[0.0005766978,0.00005343747,0.1206163,0.0004462016,0.00004737182,5.459275e-7,0.01604727,0.0001937168,0.0003639332,0.01382229,0.8465735,0.001258741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07380955,0.002994208,0.0005416596,0.04821972,0.003979621,0.0008808615,0.00002023676,0.0003042372,0.8692499],"genre_scores_gemma":[0.9764802,0.00132023,0.001224075,0.007659508,0.001425006,0.0000518801,0.00003359821,0.00002596554,0.01177952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9026707,"threshold_uncertainty_score":0.9972845,"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."}}