{"id":"W4307964394","doi":"10.3390/jrfm15110488","title":"Financial Literacy of Adults in Germany FILSA Study Results","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial literacy; Competence (human resources); Construct (python library); Structural equation modeling; The Internet; Psychology; Order (exchange); Finance; Business; Medical education; Computer science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007119169,0.0002268575,0.0002849471,0.001969835,0.000501143,0.0009214358,0.0001287006,0.0002817629,0.003903545],"category_scores_gemma":[0.001826823,0.00009554029,0.0002518558,0.001152761,0.0002419798,0.0006108743,0.0008486987,0.000284256,0.0005968554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006678954,"about_ca_system_score_gemma":0.000593451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008596106,"about_ca_topic_score_gemma":0.007009333,"domain_scores_codex":[0.9993995,0.00008053361,0.00009038487,0.0001015798,0.00008997892,0.0002379737],"domain_scores_gemma":[0.9992889,0.0001302483,0.0002063208,0.0000305173,0.0001680332,0.0001759371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001533233,0.0002714763,0.9588974,0.00007881883,0.00002135031,0.0003542526,0.0121046,0.00008079068,0.0005956756,0.0005016036,0.001141652,0.02579916],"study_design_scores_gemma":[0.000004149621,0.0001743769,0.9841431,0.00003440503,0.0000142373,0.0002197111,0.01076287,0.00008658319,0.0003724605,0.00005844165,0.004118944,0.00001077426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971381,0.000115327,0.00003452977,0.00006484226,0.000004733709,0.00001651993,0.0005818754,0.000003151679,0.002040799],"genre_scores_gemma":[0.9983104,0.00009724169,0.00005026516,0.00002890402,0.000004126874,0.00003646056,0.0004745158,0.000001296624,0.0009967149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008596106,"threshold_uncertainty_score":0.01709211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005764275220298025,"score_gpt":0.2154762517527318,"score_spread":0.2097119765324338,"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."}}