{"id":"W4237807653","doi":"10.2139/ssrn.1237462","title":"The Global Joint Distribution of Income and Health","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Income distribution; Joint (building); Distribution (mathematics); Economics; Econometrics; Demographic economics; Mathematics; Inequality; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004212817,0.0001199134,0.0002735553,0.00002171246,0.002421593,0.00000508012,0.0001710417,0.00009954773,0.000007092478],"category_scores_gemma":[0.0001893364,0.00008044044,0.00006060309,0.0002181781,0.0001444198,0.00008225624,0.00008132291,0.001916562,0.00003735171],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00429086,"about_ca_system_score_gemma":0.008135139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616282,"about_ca_topic_score_gemma":0.005760036,"domain_scores_codex":[0.9956536,0.0005324521,0.0007473166,0.0001371378,0.0003386648,0.00259082],"domain_scores_gemma":[0.9987084,0.0001181128,0.000543218,0.0001824276,0.0002386739,0.0002091651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001384349,0.00004767974,0.348508,0.0001042481,0.00007283318,0.000004184717,0.0008012309,0.000002933193,0.000003607393,0.6358513,0.005062196,0.009403282],"study_design_scores_gemma":[0.001037019,0.0007352609,0.7927247,0.0001868288,0.00001042025,0.0006705429,0.004987667,0.00002008543,0.000002468911,0.1827749,0.01673696,0.0001131314],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542191,0.02782906,0.001444052,0.01465561,0.0006487785,0.00046253,0.00003628066,0.0000388678,0.0006656934],"genre_scores_gemma":[0.9646685,0.03452057,0.00002814647,0.000252956,0.0002407703,0.000006980472,0.00000746191,0.000008461305,0.0002661987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4530764,"threshold_uncertainty_score":0.9995315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207301325222376,"score_gpt":0.4086163466348967,"score_spread":0.366543333382673,"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."}}