{"id":"W1543098948","doi":"","title":"Costs, Savings Incentives and OAS/GIS","year":2008,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Business; Population; Product (mathematics); Cost–benefit analysis; Economics; Operations management; Microeconomics; Medicine","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":[0.001756405,0.0005056076,0.0005434518,0.001427127,0.001500838,0.002909301,0.001090687,0.001317969,0.01274771],"category_scores_gemma":[0.00542464,0.0004467368,0.0008712885,0.001197016,0.001437156,0.001137229,0.001054934,0.001166613,0.0002648247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02986487,"about_ca_system_score_gemma":0.02812413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6806509,"about_ca_topic_score_gemma":0.786159,"domain_scores_codex":[0.9981235,0.000435044,0.00004169917,0.00008322248,0.0004780075,0.0008386933],"domain_scores_gemma":[0.9974843,0.000916035,0.0005688528,0.00007339656,0.0004794501,0.0004778641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001016233,0.0007090412,0.08306715,0.0003736517,0.0002101947,0.0004787201,0.0005718085,0.4818084,0.001069471,0.3432412,0.01581681,0.07163737],"study_design_scores_gemma":[0.0008685295,0.001425539,0.2540143,0.0006670745,0.001268825,0.0004959689,0.003048748,0.5114583,0.003047486,0.1257446,0.09761899,0.0003417702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8227726,0.001795,0.01065038,0.0109907,0.0001149679,0.0008598505,0.004258448,0.0001740574,0.148384],"genre_scores_gemma":[0.9811437,0.0004825886,0.002262527,0.0002934992,0.00001860537,0.0000756274,0.0003106927,0.00001141239,0.01540123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3193491,"threshold_uncertainty_score":0.6424595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749887496801049,"score_gpt":0.2094080673028563,"score_spread":0.1919091923348458,"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."}}