{"id":"W2038971342","doi":"10.1007/s11482-013-9220-3","title":"Predictors of Self-Appraised Health Status in Sub-Saharan Africa: The Case of Ghana","year":2013,"lang":"en","type":"article","venue":"Applied Research in Quality of Life","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Social capital; Context (archaeology); Social determinants of health; Poverty; Logistic regression; Psychology; Health care; Health equity; Health policy; Socioeconomics; Demographic economics; Environmental health; Economic growth; Geography; Sociology; Medicine; Economics; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.01996709,0.00008973773,0.0005211119,0.0002492098,0.0002313128,0.00001896087,0.0004052136,0.0001184524,0.00008802003],"category_scores_gemma":[0.001701451,0.00006940986,0.00005907287,0.001127073,0.0009040089,0.00009200622,0.0001123657,0.0004399492,0.000007444968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194204,"about_ca_system_score_gemma":0.002196293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.38886,"about_ca_topic_score_gemma":0.07157402,"domain_scores_codex":[0.9938382,0.002733721,0.001149942,0.0002182382,0.001071215,0.0009886853],"domain_scores_gemma":[0.9943607,0.00435232,0.0003054809,0.0003591228,0.0002179009,0.0004045177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003563067,0.001757494,0.4456436,0.006397297,0.0001020692,0.00001311233,0.2476291,0.00003203241,0.0002076778,0.2455033,0.03930027,0.01305774],"study_design_scores_gemma":[0.001960926,0.0001590869,0.7988431,0.0001691873,0.000002921882,3.042084e-7,0.1823687,0.00006429674,0.0001889673,0.006816473,0.009236001,0.0001899693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97957,0.0009551647,0.000004066165,0.01103351,0.00006374392,0.001519617,0.00004593161,0.00001328878,0.006794693],"genre_scores_gemma":[0.9981782,0.001243238,0.0001398079,0.0002282587,0.00005577612,0.0001204126,0.000002776609,0.000008074928,0.00002344276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3531996,"threshold_uncertainty_score":0.9453673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1871081747793793,"score_gpt":0.4694888478537131,"score_spread":0.2823806730743338,"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."}}