{"id":"W2905441120","doi":"10.1093/geroni/igy037","title":"Social and Economic Predictors of Worse Frailty Status Occurrence Across Selected Countries in North and South America and Europe","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Demography; Poisson regression; Gerontology; Social vulnerability; Medicine; Vulnerability (computing); Incidence (geometry); Stressor; Population; Psychological intervention; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001143458,0.00009520503,0.0001949839,0.0002164836,0.00005522198,0.00002532569,0.00002820419,0.00003879411,0.00000999012],"category_scores_gemma":[0.0002469724,0.00009916385,0.000003477029,0.0009588063,0.0004343274,0.0001421393,0.0000521079,0.0001494923,0.000001769391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000475001,"about_ca_system_score_gemma":0.0001020249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640263,"about_ca_topic_score_gemma":0.0007016629,"domain_scores_codex":[0.9991086,0.00002424349,0.0003731747,0.0002054559,0.00008624353,0.000202357],"domain_scores_gemma":[0.999479,0.00005209857,0.0001635379,0.00007071528,0.0002079594,0.00002668532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006047971,0.00001094167,0.9746442,0.00006587835,0.000008954371,0.000002218603,0.02117514,0.000001884066,0.0003465365,0.00003576412,0.0001832763,0.003464684],"study_design_scores_gemma":[0.0013034,0.00007891545,0.9955516,0.00008675473,0.000005288823,0.000004438287,0.0007790109,0.0004021371,0.0002417563,0.00001413166,0.001448993,0.0000835163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991549,0.00005656521,0.00004226813,0.0003195327,0.00007243131,0.0001644598,0.0000888562,0.00002230359,0.00007867031],"genre_scores_gemma":[0.9994929,0.00004558047,0.0001488029,0.0001625406,0.00007498846,0.00000520466,0.00004246178,0.000007867837,0.00001960281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02090741,"threshold_uncertainty_score":0.4043784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531146157515218,"score_gpt":0.3111261915234014,"score_spread":0.2858147299482492,"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."}}