{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07360456,0.001350783,0.003992876,0.00391598,0.0037244,0.00313488,0.002147915,0.001520825,0.006439566],"category_scores_gemma":[0.2221938,0.0009198454,0.003572196,0.006120811,0.003889914,0.003778916,0.005443982,0.004034635,0.000386822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210339,"about_ca_system_score_gemma":0.003311653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01625752,"about_ca_topic_score_gemma":0.01697512,"domain_scores_codex":[0.949322,0.045542,0.0007745309,0.002193494,0.001557893,0.0006101365],"domain_scores_gemma":[0.6578372,0.3235463,0.004231844,0.009578316,0.0037903,0.001016012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001064808,0.0007143272,0.09590076,0.00105271,0.003456973,0.002738227,0.005833239,0.08374518,0.001641436,0.3358461,0.01073255,0.4572737],"study_design_scores_gemma":[0.0002365777,0.0004437026,0.01894412,0.000200001,0.0006046701,0.0007189484,0.001717671,0.6729921,0.0008810882,0.2977576,0.005376959,0.0001265869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07383724,0.001646608,0.9200929,0.001080013,0.000152553,0.0003353938,0.0002906905,0.0002945358,0.002270015],"genre_scores_gemma":[0.6119731,0.001768985,0.3815974,0.0004170904,0.0004294103,0.0008109238,0.0003145389,0.0001915047,0.002497166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07360456,"threshold_uncertainty_score":0.3892628,"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."}}