{"id":"W2297264028","doi":"10.1093/geront/gnw034","title":"Healthy Ageing: Raising Awareness of Inequalities, Determinants, and What Could Be Done to Improve Health Equity","year":2016,"lang":"en","type":"review","venue":"The Gerontologist","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"World Health Organization","keywords":"Raising (metalworking); Inequality; Equity (law); Health equity; Ageing; Economics; Demographic economics; Public economics; Economic growth; Political science; Medicine; Mathematics; Health care","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":[0.008615083,0.0009625403,0.002271768,0.004547094,0.00106996,0.003950567,0.00124516,0.004200414,0.003554174],"category_scores_gemma":[0.01839775,0.0003963688,0.001196361,0.004209573,0.0030074,0.006628708,0.00335672,0.004451462,0.0005587275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003053659,"about_ca_system_score_gemma":0.01520984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006514788,"about_ca_topic_score_gemma":0.007655519,"domain_scores_codex":[0.9963918,0.001754846,0.0004011128,0.0003629848,0.0007981858,0.0002910016],"domain_scores_gemma":[0.9866164,0.0107,0.0008250593,0.0002627328,0.001138612,0.0004572014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006551167,0.00007655878,0.0008547621,0.07382183,0.0003442404,0.0001382009,0.002046631,0.0004229601,0.0003139805,0.07154983,0.02984888,0.8205166],"study_design_scores_gemma":[0.00003831521,0.0001233401,0.004627033,0.2306603,0.0006619716,0.0005745941,0.004715899,0.0002921353,0.000372667,0.06995652,0.6879029,0.0000744067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002174756,0.988071,0.0002200461,0.009948711,0.0005910033,0.000008914602,0.00001544912,0.000004314435,0.0009230381],"genre_scores_gemma":[0.004902705,0.9913476,0.0004373196,0.002443823,0.000621362,0.00002873834,0.00002387047,0.000002687808,0.0001919533],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008615083,"threshold_uncertainty_score":0.04556143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3053265905483936,"score_gpt":0.5186792399658148,"score_spread":0.2133526494174212,"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."}}