{"id":"W1575125521","doi":"10.2139/ssrn.1139916","title":"Multidimensional Poverty Dominance: Statistical Inference and an Application to West Africa","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Poverty; Dominance (genetics); Inference; Statistical inference; Econometrics; Geography; Development economics; Statistics; Political science; Economics; Mathematics; Computer science; Economic growth; Artificial intelligence; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001790538,0.0001119682,0.0001600158,0.00005538936,0.001054785,0.0000368203,0.0001841017,0.00008441831,0.00006748976],"category_scores_gemma":[0.0003484,0.00009771981,0.00002999522,0.0001722263,0.0001851009,0.0003222898,0.00003448307,0.0006732254,0.00005690953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005934451,"about_ca_system_score_gemma":0.002009725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649418,"about_ca_topic_score_gemma":0.005680176,"domain_scores_codex":[0.9975173,0.000235391,0.0002398913,0.0002312363,0.0004561981,0.00131992],"domain_scores_gemma":[0.9992142,0.0001520145,0.00009250281,0.0001236603,0.0001560052,0.0002616696],"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":[0.00009960715,0.0001487705,0.01146913,0.000002488337,0.00001576394,0.000003872689,0.00579416,0.00001236689,0.0004424953,0.9641961,0.0006798466,0.01713543],"study_design_scores_gemma":[0.002517515,0.001875531,0.1972465,0.00003754558,0.0000601317,0.0002911277,0.01324936,0.001464652,0.0001287249,0.6031824,0.1787665,0.001180041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7726508,0.0007470298,0.2136749,0.00273882,0.0003118614,0.0004361012,0.00002721562,0.00007184625,0.009341369],"genre_scores_gemma":[0.9954575,0.001706152,0.001300311,0.0003332699,0.0003888941,0.000008942482,0.000004806263,0.000008745005,0.0007914235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3610137,"threshold_uncertainty_score":0.8112657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057763682987091,"score_gpt":0.3216302492522104,"score_spread":0.3010526124223395,"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."}}