{"id":"W1521137068","doi":"10.2139/ssrn.2349771","title":"Multidimensional Poverty Targeting","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Poverty; Economics; 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":[0.003751892,0.0001236926,0.0001580018,0.00005903743,0.001162009,0.00009890406,0.0002741787,0.0001079604,0.001242863],"category_scores_gemma":[0.0004427429,0.0001006624,0.0001354701,0.0001594037,0.0001023378,0.0005918148,0.00003925298,0.001310672,0.0005388318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128823,"about_ca_system_score_gemma":0.002402272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005726797,"about_ca_topic_score_gemma":0.002348734,"domain_scores_codex":[0.9960429,0.0003461508,0.0003063063,0.0001701632,0.0005726776,0.00256181],"domain_scores_gemma":[0.999217,0.0001088794,0.0001575437,0.000101311,0.0002428455,0.0001723891],"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":[0.00002090989,0.0001288756,0.01274793,0.00000365705,0.00008903242,0.000002313963,0.002985569,0.00001123172,0.001240969,0.9479597,0.01944104,0.01536876],"study_design_scores_gemma":[0.001122204,0.0002362718,0.00679178,0.00002462546,0.00002888381,0.00004632185,0.03020517,0.0003238503,0.0001632157,0.7361515,0.2243079,0.0005983099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8958346,0.002955245,0.004127497,0.01334918,0.00194049,0.0004369892,0.000003190867,0.0001585037,0.08119425],"genre_scores_gemma":[0.9875001,0.001546773,0.000351986,0.001132828,0.001204893,0.000004904253,0.000002804805,0.00001456269,0.008241169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2118083,"threshold_uncertainty_score":0.9996701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336836715075868,"score_gpt":0.28000774275107,"score_spread":0.2666393756003113,"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."}}