{"id":"W6989705078","doi":"","title":"Brazil Poverty and Equity Assessment : Looking Ahead of Two Crises","year":2022,"lang":"en","type":"report","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Gross domestic product; Quarter (Canadian coin); Pandemic; Equity (law); Population; Per capita; Socioeconomic status; Extreme poverty","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001401859,0.0003959513,0.0003342576,0.00227021,0.0006899475,0.001612719,0.0003740683,0.0005398942,0.001528765],"category_scores_gemma":[0.00383742,0.0001531246,0.0005011518,0.002630084,0.0003599392,0.00140153,0.001936141,0.0007471905,0.0002285489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003541406,"about_ca_system_score_gemma":0.0043299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09311792,"about_ca_topic_score_gemma":0.1078927,"domain_scores_codex":[0.9994067,0.000108416,0.00004415763,0.00004457792,0.0002374941,0.0001586951],"domain_scores_gemma":[0.9985608,0.000147973,0.0002965609,0.00003975145,0.000753305,0.0002015994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000245651,0.000189367,0.6315708,0.001064067,0.0002685177,0.001703589,0.01205745,0.006988197,0.002124358,0.06695646,0.06234413,0.2144875],"study_design_scores_gemma":[0.00002341238,0.0001996944,0.769832,0.001079633,0.0001112438,0.0008266305,0.02223194,0.008642177,0.001250334,0.01438711,0.1813438,0.00007201721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8046206,0.01266577,0.004647088,0.03602825,0.0002445896,0.0004213996,0.02614172,0.0001311148,0.1150995],"genre_scores_gemma":[0.9818692,0.0046785,0.002754719,0.001061982,0.00007433578,0.0001844162,0.005733153,0.00003560692,0.003608123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09311792,"threshold_uncertainty_score":0.1851518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07402949897364026,"score_gpt":0.4247012970499267,"score_spread":0.3506717980762864,"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."}}