{"id":"W2128540583","doi":"10.1093/geronb/gbp022","title":"Identifying the Poorest Older Americans","year":2009,"lang":"en","type":"article","venue":"The Journals of Gerontology Series B","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Boston College; U.S. Social Security Administration","keywords":"Political science; Geography; Socioeconomics; Demographic economics; Sociology; Economics","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":[0.0007164206,0.000182122,0.0003648759,0.0001603901,0.0005453029,0.0001773371,0.0007035918,0.00005816815,0.0006738626],"category_scores_gemma":[0.0001866528,0.0001016145,0.0001904219,0.0005398073,0.0003414469,0.0009957965,0.0001195293,0.0002380122,0.00007729291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001691125,"about_ca_system_score_gemma":0.00001435418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005766812,"about_ca_topic_score_gemma":0.0007191688,"domain_scores_codex":[0.9985812,0.00005502375,0.0005194438,0.0001716689,0.0003285693,0.0003441392],"domain_scores_gemma":[0.9984781,0.00007696712,0.0007271049,0.0004443149,0.0002624998,0.00001096986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006321048,0.0003516997,0.8036025,0.0001070073,0.0002840175,0.00008198241,0.003109737,0.0002093554,0.009613862,0.06503489,0.09322935,0.02374346],"study_design_scores_gemma":[0.0002669452,0.00003601807,0.957463,0.00007322647,0.0002876399,0.00003398849,0.001302232,0.0001503328,0.000222437,0.0156995,0.02427012,0.0001946114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690741,0.001652205,0.000181807,0.02485022,0.0003596152,0.0001765851,0.000001087182,0.00004376927,0.003660647],"genre_scores_gemma":[0.9915448,0.0001945204,0.0001824801,0.006800208,0.0007203973,0.000003890231,0.000003903106,0.00001299216,0.0005368408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1538604,"threshold_uncertainty_score":0.7378324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05433139337908862,"score_gpt":0.3054495074633756,"score_spread":0.251118114084287,"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."}}