{"id":"W2128694789","doi":"10.3138/cpp.34.4.s59","title":"The Impact of Gender and Immigration on Pension Outcomes in Canada","year":2008,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Immigration; Earnings; Pension; Demographic economics; Private pension; Labour economics; Pension system; Economics; Business; Political science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001191763,0.0002934246,0.0004601262,0.002195737,0.004271509,0.001797487,0.00102242,0.0004776772,0.003970114],"category_scores_gemma":[0.005102534,0.0001581435,0.0006688856,0.003877121,0.001092557,0.0004906548,0.001681821,0.0009136199,0.0002686255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03472647,"about_ca_system_score_gemma":0.04933517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941712,"about_ca_topic_score_gemma":0.9969998,"domain_scores_codex":[0.9984584,0.0001008981,0.00004950628,0.0001203218,0.00036798,0.0009028284],"domain_scores_gemma":[0.9969702,0.0002019836,0.0005383682,0.00008672174,0.001156198,0.001046598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002372037,0.00004772781,0.9725552,0.00003279249,0.00006899723,0.0002813972,0.002265027,0.0003558208,0.00009979274,0.001752566,0.003788628,0.01851482],"study_design_scores_gemma":[0.000007829431,0.00001944113,0.9929668,0.00006021579,0.00002639854,0.00008063197,0.003159039,0.0002910836,0.00005899217,0.0002229864,0.003085979,0.00002062131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980248,0.002252506,0.00007243559,0.002435477,0.00005216682,0.00002150954,0.003438491,0.0000128045,0.01146658],"genre_scores_gemma":[0.9963802,0.0008889043,0.00005296944,0.0001255187,0.000008659552,0.000004880358,0.0009287065,0.000006257259,0.001604014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03472647,"threshold_uncertainty_score":0.2519594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1803190694069653,"score_gpt":0.3956165920471278,"score_spread":0.2152975226401626,"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."}}