{"id":"W2084544601","doi":"10.1177/1757975909356626","title":"Health inequalities in the Caribbean: increasing opportunities and resources","year":2010,"lang":"en","type":"article","venue":"Global Health Promotion","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute on Minority Health and Health Disparities","keywords":"Health promotion; Health equity; Social determinants of health; Public health; Health policy; Economic growth; Political science; International health; Inequality; Equity (law); Social inequality; Global health; Health care; Medicine; Economics; Nursing","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":[0.007085966,0.0001696518,0.0003570023,0.0001256848,0.0005565145,0.0001796086,0.0002150195,0.0001076938,0.00001864139],"category_scores_gemma":[0.0005009619,0.000126792,0.00003160784,0.0003779781,0.0001460457,0.0005245597,0.000122548,0.0003346581,0.00001515452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120598,"about_ca_system_score_gemma":0.0002115718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2102404,"about_ca_topic_score_gemma":0.02170252,"domain_scores_codex":[0.9976874,0.0003775877,0.0006588892,0.0002598225,0.000227644,0.000788671],"domain_scores_gemma":[0.9991026,0.0001128233,0.0004132964,0.0002280297,0.00007641849,0.00006682758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003588063,0.0001541015,0.04237846,0.001323902,0.000005740321,0.000004731528,0.001146349,0.00001258734,9.429192e-7,0.7813135,0.1041499,0.06947389],"study_design_scores_gemma":[0.0003403268,0.00009704734,0.2171472,0.00008745805,0.000002964666,0.00004663249,0.004552698,0.001001493,2.040093e-8,0.01626039,0.760328,0.0001357243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6033085,0.0002696325,0.00002847221,0.389489,0.0004402987,0.0004281387,0.00001780593,0.00007211254,0.005946025],"genre_scores_gemma":[0.9044393,0.0001792214,0.0001219013,0.09412324,0.001025229,0.00002981877,0.00006095178,0.000008001687,0.00001237485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7650531,"threshold_uncertainty_score":0.9961489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09049770127950188,"score_gpt":0.3588527452809365,"score_spread":0.2683550440014346,"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."}}