{"id":"W3202946538","doi":"10.1093/geroni/igab043","title":"The Financial and Psychological Impact of Identity Theft Among Older Adults","year":2021,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Social Security Administration","keywords":"Identity theft; Disadvantaged; Identity (music); Socioeconomic status; Poverty; Psychology; Medicine; Political science; Computer security; Environmental health; Population","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":[0.0010854,0.0002258761,0.0003351919,0.0006796906,0.001302251,0.0009165953,0.0002828476,0.0005781997,0.002651556],"category_scores_gemma":[0.008230903,0.0001910624,0.0004688332,0.0005327488,0.0006600045,0.0009022949,0.001651125,0.00102388,0.0001882042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698533,"about_ca_system_score_gemma":0.000639132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007372585,"about_ca_topic_score_gemma":0.01412187,"domain_scores_codex":[0.999395,0.0001842531,0.0000759482,0.00005009349,0.0001474409,0.0001472624],"domain_scores_gemma":[0.9970017,0.0003488262,0.001615988,0.00009514997,0.0003724569,0.0005658297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008125795,0.0001829932,0.9774121,0.0001002813,0.00009271546,0.0003503383,0.003287452,0.00005561758,0.0001010406,0.00008916495,0.00142273,0.0168243],"study_design_scores_gemma":[0.000005181653,0.0001215781,0.9905595,0.0001048393,0.00003940894,0.0004956381,0.007640454,0.00007764445,0.00003160889,0.0001108638,0.0008046262,0.000008633564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969741,0.0008035905,0.00002913346,0.0007829347,0.00002804857,0.00001490694,0.0001696858,0.00000214987,0.001195361],"genre_scores_gemma":[0.9987434,0.0006209128,0.00005369697,0.0002297827,0.00002815661,0.000009452947,0.000102471,7.906218e-7,0.0002113912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007372585,"threshold_uncertainty_score":0.01465935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254242680064291,"score_gpt":0.3310752598666131,"score_spread":0.305650991860184,"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."}}