{"id":"W4404014802","doi":"10.5539/ijef.v16n12p31","title":"Impact of Socioeconomic and Macroeconomic Conditions on the Financial Literacy of Students Assessed by Pisa","year":2024,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial literacy; Socioeconomic status; Economics; Literacy; Mathematics education; Psychology; Finance; Sociology; Economic growth; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003389218,0.0001229934,0.0002725222,0.0002535357,0.00004886821,0.000276575,0.0003085058,0.00004008012,0.0001436754],"category_scores_gemma":[0.0000502637,0.00009689023,0.0001894173,0.00005029225,0.0001013509,0.0008367751,0.00008962745,0.0001155118,0.00001220795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007237867,"about_ca_system_score_gemma":0.0000636455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101066,"about_ca_topic_score_gemma":0.00001530185,"domain_scores_codex":[0.9990728,0.00000711521,0.0006062342,0.0001462368,0.00007390748,0.00009373052],"domain_scores_gemma":[0.9988828,0.0001376156,0.0006897424,0.0000867172,0.0001948013,0.000008280952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004131054,0.0004051507,0.6670642,0.00009689469,0.0006256675,0.0000210896,0.0003876102,0.003676317,0.0009821764,0.3051873,0.01184035,0.009300128],"study_design_scores_gemma":[0.001168659,0.0001509456,0.9158547,0.0003464773,0.0001288959,0.00001896745,0.00004101558,0.03002294,0.0001782158,0.02956601,0.02225078,0.0002724342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981364,0.0005112647,0.00001002879,0.0005272172,0.0004432393,0.00006829658,0.00009823019,0.000002200744,0.0002030977],"genre_scores_gemma":[0.9976892,0.001556678,0.00003490778,0.0002679222,0.0003504175,0.000002353723,0.00001621293,0.00001114816,0.00007117879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2756213,"threshold_uncertainty_score":0.3951069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008303490590106115,"score_gpt":0.2821815639521291,"score_spread":0.273878073362023,"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."}}