{"id":"W4416059941","doi":"10.34127/jrakt.v10i2.1836","title":"ANALISIS TREN PESERTA DANA PENSIUN DI INDONESIA","year":2025,"lang":"","type":"article","venue":"JURNAL LENTERA AKUNTANSI","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension fund; Pension; Quarter (Canadian coin); Purchasing; Purchasing power; Purchasing power parity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005565354,0.000277519,0.0002618091,0.00160256,0.0002531349,0.001215947,0.0002079816,0.0001417249,0.006011962],"category_scores_gemma":[0.0009405074,0.000110689,0.0002414657,0.002348365,0.0002002476,0.0006295285,0.000498366,0.0004376896,0.001744582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006862293,"about_ca_system_score_gemma":0.0006608092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009904809,"about_ca_topic_score_gemma":0.01148045,"domain_scores_codex":[0.9996629,0.00004266769,0.00004072234,0.00006197358,0.0001506911,0.000041024],"domain_scores_gemma":[0.9994253,0.0001505117,0.0001147476,0.00003061122,0.0002409737,0.00003784783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004258123,0.0001700575,0.57163,0.0006974213,0.0001674945,0.001160462,0.005726972,0.002706422,0.003116645,0.005538615,0.01967545,0.3889846],"study_design_scores_gemma":[0.000007118032,0.00007886953,0.9127345,0.0001743725,0.00006475491,0.0006540039,0.00754854,0.003357567,0.001716165,0.0008333624,0.0728016,0.00002913268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294799,0.001954837,0.001847614,0.0006721613,0.00007653482,0.00004685276,0.008463651,0.0001213161,0.05733705],"genre_scores_gemma":[0.9664063,0.001679596,0.002227953,0.00005235382,0.0000333606,0.00005189085,0.004852609,0.00005099625,0.02464479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009904809,"threshold_uncertainty_score":0.02011204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009576721707353596,"score_gpt":0.2427897408540602,"score_spread":0.2332130191467066,"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."}}