{"id":"W1535355900","doi":"10.2139/ssrn.998545","title":"The Global Joint Distribution of Income and Health","year":2008,"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":"University of Guelph","funders":"","keywords":"Income distribution; Distribution (mathematics); Joint (building); Economics; Econometrics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002202465,0.0001879843,0.0005699413,0.001859711,0.000330432,0.001793279,0.0002993017,0.0005479233,0.005918174],"category_scores_gemma":[0.007323232,0.0002030303,0.0003595486,0.003203235,0.002450618,0.002760374,0.002369578,0.0009426879,0.0004797552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005112969,"about_ca_system_score_gemma":0.0004034471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00261244,"about_ca_topic_score_gemma":0.003578396,"domain_scores_codex":[0.9989729,0.0005731267,0.00003341496,0.0001287151,0.0001455426,0.0001462645],"domain_scores_gemma":[0.9963158,0.002197381,0.0005435729,0.0003637548,0.0003508274,0.0002286746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002645367,0.00007299292,0.6397543,0.0002235069,0.0007545591,0.0006053534,0.002056256,0.007311935,0.0006401011,0.2289043,0.0134858,0.1059263],"study_design_scores_gemma":[0.00001473139,0.00007810054,0.7165974,0.0001664865,0.0001445122,0.0007178161,0.003148132,0.005842887,0.0001481554,0.2618229,0.01128818,0.00003076778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949485,0.0101538,0.01423915,0.02489224,0.0002513202,0.00003097245,0.00432341,0.00008267357,0.05107792],"genre_scores_gemma":[0.9960063,0.00202769,0.00031992,0.0002044452,0.0001422688,0.000009954586,0.000365328,0.00001433747,0.0009098712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005918174,"threshold_uncertainty_score":0.01979828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898134620102187,"score_gpt":0.3205964891332413,"score_spread":0.2916151429322195,"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."}}