{"id":"W3125072567","doi":"","title":"A Pension in Every Pot: Better Pensions for More Canadians","year":2008,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Work (physics); Business; Labour economics; Private sector; Private pension; Economics; Finance; Economic growth; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001734828,0.0001269322,0.0001749046,0.0001331938,0.0009729717,0.00002171748,0.0002676875,0.00009364186,0.00008259303],"category_scores_gemma":[0.0001204907,0.0001437603,0.00008475959,0.0002652127,0.0005023918,0.0004169075,0.00004012017,0.0001705141,0.00001777031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005930249,"about_ca_system_score_gemma":0.0006085052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7491773,"about_ca_topic_score_gemma":0.9184653,"domain_scores_codex":[0.9987819,0.00004753518,0.000191573,0.0002364704,0.0002074386,0.000535101],"domain_scores_gemma":[0.9992843,0.0000986591,0.00005673158,0.0002269403,0.00003811083,0.0002952542],"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":[0.00001949057,0.00004207025,0.008266497,0.00000681447,0.000009335998,0.000243143,0.008240355,0.0000250967,0.00002942425,0.002409042,0.979067,0.001641676],"study_design_scores_gemma":[0.0005237426,0.00001941367,0.02979398,0.00004826731,0.000007729381,0.00001389464,0.0006068493,0.00002436606,0.00002220095,0.0004169903,0.9683298,0.0001926965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6659222,0.0001710525,0.00003787454,0.3287058,0.0007827086,0.0005279321,0.0004085631,0.00002952773,0.003414363],"genre_scores_gemma":[0.8204611,0.0002569303,0.0005270744,0.1755454,0.0006141558,0.00006025656,0.00007726674,0.00001647669,0.002441276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.169288,"threshold_uncertainty_score":0.748341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04540869359428763,"score_gpt":0.3030270587545413,"score_spread":0.2576183651602537,"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."}}