{"id":"W3123789538","doi":"","title":"Poverty Measurement with Ordinal Data","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ordinal data; Axiom; Poverty; Econometrics; Ordinal Scale; Ordinal optimization; Class (philosophy); Dimension (graph theory); Core (optical fiber); Ordinal regression; Mathematics; Economics; Statistics; Computer science; Artificial intelligence; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01356429,0.0003057049,0.0005611464,0.0002651425,0.0005539461,0.0002597527,0.00287106,0.0004852467,0.0005411293],"category_scores_gemma":[0.001364681,0.0002776838,0.0000999192,0.0001625417,0.0007999489,0.000336887,0.002537534,0.001771471,0.00003695501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398522,"about_ca_system_score_gemma":0.003828967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01431403,"about_ca_topic_score_gemma":0.05584793,"domain_scores_codex":[0.9946582,0.001102147,0.0006018978,0.001294371,0.001191765,0.001151661],"domain_scores_gemma":[0.9962797,0.0002389378,0.0002409244,0.002475438,0.0004306853,0.0003343693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002387001,0.002781139,0.1887648,0.001239579,0.001356664,0.0002517592,0.03263183,0.0007185519,0.00006641782,0.06473106,0.01968957,0.6853816],"study_design_scores_gemma":[0.001535441,0.0003441948,0.02715273,0.0007227397,0.00005410456,0.00000497501,0.01027534,0.00120142,0.00006827749,0.01625668,0.9407209,0.001663256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03492451,0.000173185,0.00001829931,0.001054641,0.0008928123,0.001101714,0.0001948134,0.00007320402,0.9615668],"genre_scores_gemma":[0.9829057,0.009855485,0.0009812779,0.0003909205,0.001101879,0.0001427064,0.0001562721,0.00007631513,0.004389474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9571773,"threshold_uncertainty_score":0.9999675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047385226227518,"score_gpt":0.3820648498215978,"score_spread":0.177326327198846,"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."}}