{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002843302,0.0001771176,0.0004431048,0.002276749,0.0006111058,0.003068408,0.0003378778,0.0008307944,0.01107841],"category_scores_gemma":[0.01070596,0.0001972945,0.0002747173,0.004617453,0.002986972,0.003190494,0.003024073,0.001265656,0.001023134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087825,"about_ca_system_score_gemma":0.0009401593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004288184,"about_ca_topic_score_gemma":0.005689998,"domain_scores_codex":[0.9981413,0.0009262713,0.00006168528,0.0001511492,0.0004190865,0.0003006024],"domain_scores_gemma":[0.9949646,0.002936254,0.0006446398,0.0003721349,0.0006933042,0.0003891752],"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":[0.0002409042,0.00008700523,0.2689619,0.0002451238,0.000354644,0.0006239414,0.004118437,0.002671668,0.0005601193,0.4851289,0.05848973,0.1785176],"study_design_scores_gemma":[0.00002902122,0.00009772148,0.5648,0.0004503912,0.00009839479,0.0008132088,0.01185679,0.002526307,0.0001711577,0.3344396,0.08467131,0.00004609653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6278337,0.02000343,0.009324437,0.106396,0.001092688,0.00004954462,0.004104343,0.00009392435,0.2311019],"genre_scores_gemma":[0.9872039,0.0046063,0.000375793,0.001356134,0.0005496631,0.00001992966,0.000439689,0.00003314201,0.005415508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01107841,"threshold_uncertainty_score":0.03706098,"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."}}