{"id":"W4239509325","doi":"10.1093/geront/gnw162.726","title":"FINANCIAL LITERACY AND THE ECONOMIC EXPERIENCES OF OLDER ABORIGINAL ADULTS IN CANADA","year":2016,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Financial literacy; Literacy; Finance; Economic growth; Business; Political science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008378996,0.0001887481,0.000382858,0.001195378,0.007259265,0.002771872,0.000774321,0.0006157747,0.003397095],"category_scores_gemma":[0.004236732,0.0002248323,0.0003636544,0.002408884,0.001656662,0.0008961654,0.002296333,0.001643316,0.0002127236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01406287,"about_ca_system_score_gemma":0.02147303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9782184,"about_ca_topic_score_gemma":0.9902422,"domain_scores_codex":[0.9988266,0.0001459082,0.00005858753,0.0000503741,0.0002534291,0.0006651674],"domain_scores_gemma":[0.9968084,0.0002180749,0.0005721505,0.00004028521,0.0009244337,0.001436601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001352613,0.0002876295,0.8352218,0.00009133537,0.00005316618,0.0007175928,0.1436712,0.00008089813,0.0001585613,0.0008794785,0.003455776,0.01524742],"study_design_scores_gemma":[0.000006742288,0.00004931962,0.7767603,0.0001197187,0.00002045703,0.0001665136,0.2183967,0.00007437849,0.00002975013,0.0001220989,0.004230733,0.00002329418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938884,0.0004535989,0.000007223058,0.001285206,0.00001968245,0.00001005867,0.0001971188,9.599685e-7,0.004137693],"genre_scores_gemma":[0.9974912,0.0005757006,0.00002105255,0.0003329355,0.00001161722,0.000006987588,0.0001042409,0.000001793731,0.001454407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02178162,"threshold_uncertainty_score":0.1020338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600812687752969,"score_gpt":0.350179140934661,"score_spread":0.3341710140571313,"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."}}