{"id":"W4400746933","doi":"10.1111/roiw.12708","title":"Monitoring Poverty in a Data‐Deprived Environment: The Case of Lebanon","year":2024,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Poverty; Geography; Economic growth; Economics","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":[0.001610527,0.0002394326,0.0002954426,0.001157106,0.0009305102,0.0009899461,0.0006096419,0.000447617,0.0007223833],"category_scores_gemma":[0.003512278,0.0001008425,0.0001402317,0.00168208,0.0008172219,0.0008134301,0.001306064,0.0004078547,0.0000554195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679312,"about_ca_system_score_gemma":0.0008909115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0398948,"about_ca_topic_score_gemma":0.05501097,"domain_scores_codex":[0.9991339,0.0006090194,0.00001849197,0.00005398966,0.00007895782,0.0001056676],"domain_scores_gemma":[0.9983896,0.0008314609,0.0002958897,0.00008860876,0.0003064985,0.00008803927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005584208,0.0005638856,0.6806568,0.000794669,0.0003716988,0.01227212,0.00846474,0.06339135,0.002414819,0.04452111,0.008383918,0.1776064],"study_design_scores_gemma":[0.0000786186,0.0003732315,0.6569051,0.0009152382,0.0001738008,0.001434018,0.04983355,0.2002414,0.004007125,0.05770932,0.02818128,0.0001473988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915004,0.001204539,0.002899226,0.001255981,0.00001609969,0.00002442899,0.0003195268,0.000008559449,0.002771353],"genre_scores_gemma":[0.9969933,0.0005529709,0.001912751,0.00007669,0.00001379317,0.00002127063,0.0001339371,0.000002956428,0.0002921995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0398948,"threshold_uncertainty_score":0.0793252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05509775695943132,"score_gpt":0.3705937975991722,"score_spread":0.3154960406397408,"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."}}