{"id":"W2162119403","doi":"10.5430/ijfr.v5n1p101","title":"Empirical Research on Shanghai Residents' Financial Literacy","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Financial literacy; China; Finance; Investment (military); Empirical research; Pension; Control (management); Business; Economics; Political science; Management","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":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01231008,0.0002708288,0.0004873163,0.004287845,0.0005996786,0.001153444,0.002263137,0.0002371997,0.00073841],"category_scores_gemma":[0.02337374,0.0002392982,0.0003902052,0.002342447,0.0003382399,0.001844195,0.0007809325,0.001956109,0.001686733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004404134,"about_ca_system_score_gemma":0.000569666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006516271,"about_ca_topic_score_gemma":0.0001937713,"domain_scores_codex":[0.9906477,0.0003957268,0.001173604,0.0005294855,0.006331949,0.000921502],"domain_scores_gemma":[0.9865157,0.001217533,0.0005173106,0.0004486508,0.01121622,0.00008458546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003942105,0.001329785,0.3474841,0.0001107902,0.00005173197,0.001020165,0.0005072569,0.0001613207,0.001416513,0.1656564,0.351858,0.1264618],"study_design_scores_gemma":[0.001255515,0.0002995898,0.5715311,0.0005561466,0.00001838957,0.00001546367,0.00002001556,0.0008524286,0.0003706743,0.03097916,0.3938325,0.0002690334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813733,0.000123887,0.0001412486,0.004642871,0.00210355,0.0002364463,0.000006988403,0.00002783766,0.01134384],"genre_scores_gemma":[0.9799473,0.00006197477,0.0002963559,0.002327333,0.01574184,0.00001549875,0.00002223664,0.00004475169,0.001542766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.224047,"threshold_uncertainty_score":0.9998835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134574340633273,"score_gpt":0.450082591678256,"score_spread":0.3366251576149287,"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."}}