{"id":"W3040715044","doi":"10.1093/ageing/afaa151","title":"Respiratory epidemics and older people","year":2020,"lang":"en","type":"review","venue":"Age and Ageing","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Weill Cornell Medical College","keywords":"Dignity; Older people; Medicine; Public health; Vulnerability (computing); Gerontology; Health care; Coronavirus disease 2019 (COVID-19); Disease; Economic growth; Political science; Nursing; Infectious disease (medical specialty)","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":[0.004137754,0.0005484818,0.0008924497,0.000891522,0.002144578,0.002561366,0.001967105,0.01372791,0.007374163],"category_scores_gemma":[0.03281995,0.0003305927,0.001562172,0.0008718548,0.002630024,0.00491772,0.002769477,0.009690545,0.001640085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002720129,"about_ca_system_score_gemma":0.005974542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616763,"about_ca_topic_score_gemma":0.02221471,"domain_scores_codex":[0.9945121,0.002602361,0.0009293136,0.0004871477,0.00093266,0.0005363713],"domain_scores_gemma":[0.9858754,0.008148308,0.002129827,0.000261964,0.002597171,0.000987272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008287766,0.00002423956,0.001767566,0.005729173,0.0001335273,0.0007833253,0.005457486,0.00008314699,0.000114121,0.01380053,0.9093118,0.06271221],"study_design_scores_gemma":[0.00004079553,0.00006125864,0.003930863,0.01579639,0.0001257365,0.0007850878,0.002668673,0.00006430506,0.00006229861,0.006169028,0.9702482,0.00004728544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.001554693,0.1704814,0.0001520631,0.7655993,0.05713178,0.00002423194,0.0002295771,0.00002057542,0.00480652],"genre_scores_gemma":[0.0267077,0.2151686,0.0002317183,0.6528564,0.09986705,0.00009837202,0.000163629,0.00002549289,0.004880993],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01616763,"threshold_uncertainty_score":0.03214705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09309759709513299,"score_gpt":0.4058920897214411,"score_spread":0.3127944926263082,"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."}}