{"id":"W3208219154","doi":"10.1111/ecpo.12201","title":"The influence of financial and economic literacy on policy preferences in Italy","year":2021,"lang":"en","type":"article","venue":"Economics and Politics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Institute for Humane Studies, George Mason University; University of Washington","keywords":"Financial literacy; Immigration; Protectionism; Pension; Economics; Economic globalization; Literacy; Globalization; Economic integration; International economics; Political science; Finance; Economic growth; Market economy","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":[0.0001562493,0.0001099286,0.0001888066,0.0001463955,0.0001237918,0.0002492114,0.00009847194,0.00004413737,0.00001236558],"category_scores_gemma":[0.0001789117,0.00009668716,0.00003636143,0.00009585475,0.00009272942,0.0004026738,0.0001278539,0.0000679087,0.00001571122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003761038,"about_ca_system_score_gemma":0.0001204911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908882,"about_ca_topic_score_gemma":0.001430947,"domain_scores_codex":[0.9992432,0.000008193869,0.0003285792,0.0001921446,0.00003105385,0.0001968457],"domain_scores_gemma":[0.9994898,0.0001086144,0.0001592782,0.0001650623,0.00006354341,0.00001362863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009897873,0.00001505517,0.2736395,0.00003394235,0.000003727703,0.00000139249,0.00008877428,0.0003421612,0.000007827768,0.7240829,0.00007868352,0.001696205],"study_design_scores_gemma":[0.0002992555,0.00001410174,0.8338161,0.00005135627,0.00001791812,0.000001134112,0.00003685968,0.003032595,0.00006293957,0.07761848,0.08488251,0.0001668002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961182,0.000186527,1.173114e-7,0.000805818,0.00007620618,0.00005729986,0.00001451262,0.000004446567,0.002736837],"genre_scores_gemma":[0.997216,0.0009126334,0.00002664828,0.001192389,0.0004323146,0.00000348602,0.00001130094,0.000007662294,0.0001975312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6464644,"threshold_uncertainty_score":0.3942788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008230997965498046,"score_gpt":0.2265215632224682,"score_spread":0.2182905652569701,"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."}}