{"id":"W1586521330","doi":"10.3138/cpp.34.4.s177","title":"Retirement Saving in Australia","year":2008,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Position (finance); Government (linguistics); Pension; Economics; Demographic economics; Cohort; Business; Labour economics; Public economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000711408,0.00008468125,0.0001197932,0.0005793168,0.001635202,0.001019636,0.0002552222,0.000470681,0.003653401],"category_scores_gemma":[0.002325021,0.00006519065,0.0001473512,0.0008828167,0.0005224439,0.0004743379,0.0009438369,0.0005020188,0.0002477111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007691326,"about_ca_system_score_gemma":0.01326451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6022683,"about_ca_topic_score_gemma":0.7359958,"domain_scores_codex":[0.9996147,0.00008649375,0.00001756801,0.00003596756,0.0001343739,0.0001108951],"domain_scores_gemma":[0.9993994,0.00004668583,0.00007984168,0.0000264504,0.0002498013,0.0001978122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001734272,0.0002072936,0.1826381,0.0004605009,0.00004217973,0.001007852,0.03248532,0.00745213,0.001573352,0.191091,0.08419976,0.498669],"study_design_scores_gemma":[0.00001100712,0.0001152265,0.5477996,0.0002807574,0.00002621837,0.000368487,0.006961628,0.004934723,0.0003427978,0.01107273,0.4280418,0.00004509786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7828029,0.007675405,0.001945983,0.02629232,0.0002961927,0.0001237672,0.0009508138,0.00007691349,0.1798357],"genre_scores_gemma":[0.9589059,0.003818091,0.001634915,0.001121809,0.00003361735,0.00003091177,0.0002467989,0.000008632901,0.03419926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6022683,"threshold_uncertainty_score":0.800148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3430818494271232,"score_gpt":0.4101832062043123,"score_spread":0.06710135677718909,"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."}}