{"id":"W4394944957","doi":"10.4337/9781782542353.00008","title":"An Overview","year":2001,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006304213,0.0007066749,0.0005145638,0.002083461,0.001258388,0.005558524,0.001288017,0.00188386,0.3056234],"category_scores_gemma":[0.001822801,0.0003437934,0.0005030585,0.002586295,0.0005075546,0.004624153,0.002807144,0.001834524,0.2286567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767265,"about_ca_system_score_gemma":0.002587129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003117463,"about_ca_topic_score_gemma":0.005827516,"domain_scores_codex":[0.9991394,0.00009614008,0.00004930124,0.0001257188,0.0004862509,0.0001031494],"domain_scores_gemma":[0.999509,0.00006334521,0.00002386504,0.00005179027,0.0002241292,0.0001279436],"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":[0.00001676943,0.00003415687,0.0001796828,0.0003402795,0.000003738678,0.00009571714,0.0002294935,0.00009334135,0.0002638485,0.02481709,0.7301289,0.2437969],"study_design_scores_gemma":[7.250999e-7,0.000003680813,0.0000848476,0.00009354052,6.727698e-7,0.00005796232,0.00003737386,0.000006291525,0.00001486154,0.001159549,0.9985391,0.00000133747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007238419,0.04477846,0.003077561,0.009125949,0.007873275,0.0001243161,0.001845273,0.0007754719,0.931676],"genre_scores_gemma":[0.003062728,0.03067437,0.002337826,0.003412495,0.001638541,0.0001008719,0.002296869,0.000357489,0.9561188],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6943766,"threshold_uncertainty_score":0.9904439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04437018715829308,"score_gpt":0.252570619297426,"score_spread":0.2082004321391329,"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."}}