{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002803718,0.0000671576,0.00008037033,0.00001492948,0.00007743329,0.000004333301,0.00006521569,0.00003155447,0.000008688717],"category_scores_gemma":[0.00001183784,0.00006536354,0.00001102811,0.00007450494,0.00003787939,0.000002372205,0.00004476455,0.00006046975,4.650051e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003658261,"about_ca_system_score_gemma":0.0002877934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2057403,"about_ca_topic_score_gemma":0.8964067,"domain_scores_codex":[0.9994967,0.0000093606,0.0001089728,0.0001799036,0.0000418705,0.0001632112],"domain_scores_gemma":[0.9997201,0.000004223537,0.00002213592,0.000169521,0.0000290338,0.00005497172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000003331389,0.00003349156,0.3917007,0.000003177627,0.000008718501,0.000003513372,0.00000766391,0.00003353293,0.604403,0.0007072125,0.002571612,0.0005240541],"study_design_scores_gemma":[0.0005755018,0.0001390726,0.5446712,0.000008295291,0.000008660259,0.0001139195,0.0001157841,0.0008607496,0.4109506,0.0003428283,0.04175916,0.0004541338],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901545,0.000150508,0.00732208,0.0001736063,0.000005734288,0.000106948,0.000004017892,0.00001265921,0.002069958],"genre_scores_gemma":[0.9962611,0.0002117342,0.003076295,0.0001799078,0.000009855185,0.00002074037,0.00003833137,0.000006469103,0.000195599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6906664,"threshold_uncertainty_score":0.7995487,"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."}}