{"id":"W2781781316","doi":"10.14687/jhs.v14i4.5038","title":"Financial literacy and its status in the mathematics curriculums of Turkey<p>Finansal okuryazarlık ve Türkiye matematik öğretim programlarındaki konumu","year":2017,"lang":"en","type":"article","venue":"Journal of Human Sciences","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial literacy; Curriculum; Mathematics education; Literacy; Political science; Theme (computing); Pedagogy; Sociology; Finance; Psychology; Economics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003298876,0.0002301302,0.0005548337,0.0005653363,0.0009489888,0.001616636,0.001276637,0.00005999462,0.0001035141],"category_scores_gemma":[0.0009669665,0.0001430119,0.0001833248,0.0006022622,0.0004461829,0.003407064,0.0002466269,0.000233232,0.00001349995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002434457,"about_ca_system_score_gemma":0.00008591203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001261445,"about_ca_topic_score_gemma":0.0001444593,"domain_scores_codex":[0.9971145,0.00004215225,0.001081156,0.0002514755,0.001094821,0.000415853],"domain_scores_gemma":[0.9964953,0.00008626302,0.002547202,0.000328399,0.0005205663,0.00002224211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008295366,0.001252276,0.7956395,0.001683226,0.000039294,0.0003025653,0.01098784,0.00007863192,0.003148128,0.1782138,0.003930613,0.004641216],"study_design_scores_gemma":[0.001896525,0.0005154156,0.9284605,0.002649833,0.0003847376,0.00007580296,0.001681334,0.009688258,0.0003820785,0.04408718,0.009413491,0.0007648668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967732,0.0006098811,0.000007731031,0.0003295016,0.0002608512,0.000261289,0.000002782345,0.000008132786,0.001746582],"genre_scores_gemma":[0.9984242,0.00006528226,0.0008228917,0.000114002,0.0004790646,0.00000543868,0.000002113565,0.00001101091,0.00007601706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1341266,"threshold_uncertainty_score":0.9994198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795846278449727,"score_gpt":0.3084636443690519,"score_spread":0.2805051815845546,"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."}}