{"id":"W2118460574","doi":"10.3138/cpp.34.4.s29","title":"The Shift from DB to DC Coverage: A Reflection on the Issues","year":2008,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Predictability; Point (geometry); Reflection (computer programming); Actuarial science; Business; Accounting; Finance; Computer science","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003422591,0.0001978154,0.0001632981,0.0006835563,0.001840271,0.0008560714,0.0005886089,0.00007226635,0.000623173],"category_scores_gemma":[0.001320852,0.0001320596,0.0001085034,0.00193104,0.00008647913,0.0006098172,0.00008530176,0.0001806365,0.002030243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000354904,"about_ca_system_score_gemma":0.0005857731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7284045,"about_ca_topic_score_gemma":0.6596269,"domain_scores_codex":[0.9984422,0.00003356626,0.0002448548,0.0003096611,0.0003432188,0.0006265453],"domain_scores_gemma":[0.9989007,0.00009520532,0.0001162379,0.0006084939,0.0001743112,0.0001050965],"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":[0.00002435679,0.00002518879,0.1260646,0.000005615801,0.00003554464,0.00002940407,0.0004538464,0.00001227768,0.00003815368,0.3442252,0.5233132,0.005772586],"study_design_scores_gemma":[0.00008432388,0.000006289391,0.2209687,0.000009495852,0.00001150281,5.72576e-7,0.0000278988,0.0001139196,0.000009152554,0.005433572,0.7731917,0.0001428665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8169625,0.00008725784,0.000005551657,0.1446229,0.0003261474,0.0002884995,0.00002223284,0.00007375846,0.03761113],"genre_scores_gemma":[0.9461969,0.00002301883,0.000007771077,0.04576449,0.003686626,0.00004056913,0.00005880497,0.00002876509,0.004193095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3387917,"threshold_uncertainty_score":0.9994592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622571047309945,"score_gpt":0.2581906601598926,"score_spread":0.2219649496867932,"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."}}