{"id":"W7042371732","doi":"","title":"Özel emeklilik fonları ve Türkiye uygulamaları","year":2002,"lang":"tr","type":"other","venue":"Marmara University Open Access System","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social security; Social analysis; Social assistance","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":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.001193169,0.001631498,0.002506057,0.002717943,0.001649533,0.009058525,0.0116527,0.0009839484,0.05257639],"category_scores_gemma":[0.0000873687,0.001874641,0.0009562375,0.003859628,0.0002571901,0.01062509,0.01327102,0.0008371018,0.01984665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240776,"about_ca_system_score_gemma":0.0001649422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.017337,"about_ca_topic_score_gemma":0.002278569,"domain_scores_codex":[0.9930142,0.000266687,0.001237873,0.002483708,0.001537236,0.001460274],"domain_scores_gemma":[0.9938775,0.00008953042,0.00289897,0.00192565,0.001042409,0.000165968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003520212,0.0004409052,0.3816091,0.004464928,0.0004934594,0.001110554,0.0001159161,0.00005141977,0.000008339443,0.01314819,0.5973194,0.0008858116],"study_design_scores_gemma":[0.002880459,0.00002415515,0.04677518,0.00320511,0.002449938,0.000007940087,0.001370031,0.006322905,0.00000391215,0.00001869943,0.9348198,0.002121829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02473355,0.0006908497,0.00007611701,0.000350364,0.002595834,0.003855353,0.0002053583,0.0005169688,0.9669756],"genre_scores_gemma":[0.19957,0.0002907027,0.0002108116,0.0005814247,0.002087272,0.0000138123,0.0006977633,0.0005122912,0.7960359],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3375005,"threshold_uncertainty_score":0.9996502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785261001990715,"score_gpt":0.2604295106976771,"score_spread":0.22257690067777,"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."}}