{"id":"W7095694190","doi":"","title":"Public Pensions and Elderly Mortality in Canada: Comparing Means tested","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Age groups; Old Age Security; Social security; Mortality rate; Retirement age; Public policy","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":[],"consensus_categories":[],"category_scores_codex":[0.001696126,0.0002927556,0.0005591266,0.001837524,0.00136179,0.001139041,0.001312433,0.000471677,0.001337566],"category_scores_gemma":[0.01024981,0.0002058009,0.001064783,0.002236545,0.001146551,0.0003589869,0.001327084,0.0006555304,0.0001010499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02174948,"about_ca_system_score_gemma":0.01979568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9510031,"about_ca_topic_score_gemma":0.9736655,"domain_scores_codex":[0.9973624,0.0003769739,0.00009950669,0.0001643021,0.001237378,0.0007593826],"domain_scores_gemma":[0.9940339,0.001270566,0.001403658,0.0004030569,0.001792828,0.001096089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007591967,0.0001214173,0.9730456,0.00005253939,0.0003680148,0.00008999388,0.000656523,0.002547396,0.0002927596,0.0008692308,0.0006633195,0.02053401],"study_design_scores_gemma":[0.00002569087,0.000148044,0.9970871,0.0000183238,0.00007561537,0.00002906025,0.00047021,0.00090956,0.0002687384,0.0001660662,0.0007853776,0.00001632489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965163,0.0008245977,0.0001053622,0.00023262,0.000009194693,0.00001175594,0.001162107,0.00001246837,0.001125536],"genre_scores_gemma":[0.9983829,0.0002558669,0.000171034,0.0000415417,0.000005476707,0.000009139156,0.0006256714,0.000002597124,0.0005058752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04899693,"threshold_uncertainty_score":0.1578042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04081791896518566,"score_gpt":0.2957293681874129,"score_spread":0.2549114492222272,"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."}}