{"id":"W2725309032","doi":"10.1093/geroni/igx004.2024","title":"FINANCIAL FRAUDS AND THE HEALTH OF MIDDLE-AGED AND OLDER ADULTS: THE CASE OF SPAIN","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Financial compensation; Compensation (psychology); Currency; Business; Finance; Mental health; Population; Sample (material); Quality of life (healthcare); Quality (philosophy); Environmental health; Medicine; Psychology; Psychiatry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334064,0.0002569077,0.0004274183,0.001225855,0.001022705,0.001123781,0.0005225621,0.001424799,0.001364999],"category_scores_gemma":[0.002514181,0.0001423154,0.0004828136,0.001070566,0.00074464,0.0006949443,0.001347046,0.0008529754,0.0001544997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167695,"about_ca_system_score_gemma":0.001089567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05535525,"about_ca_topic_score_gemma":0.03698516,"domain_scores_codex":[0.9995908,0.0001583596,0.00003110537,0.00003431927,0.00003833162,0.0001470737],"domain_scores_gemma":[0.999032,0.0001999372,0.0002903349,0.0001011817,0.0001553891,0.0002210747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003854402,0.0004201316,0.9471852,0.0001944784,0.00008141017,0.01609298,0.006881451,0.0001705458,0.0001797969,0.0007989245,0.003473189,0.02413637],"study_design_scores_gemma":[0.00007788481,0.0002032742,0.9354374,0.0005618263,0.0001161232,0.01231103,0.04008977,0.0009177655,0.0001000602,0.001867298,0.008282534,0.0000350894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913288,0.004128537,0.0000710674,0.002489073,0.0000502759,0.00001174877,0.0001147981,0.00000254874,0.001803148],"genre_scores_gemma":[0.9971682,0.002064188,0.00007259984,0.0003229379,0.00004656873,0.000005455624,0.00007242489,0.000001305764,0.0002463039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05535525,"threshold_uncertainty_score":0.1100661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806716649563215,"score_gpt":0.2595173324371808,"score_spread":0.2414501659415487,"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."}}