{"id":"W4232232505","doi":"10.24908/iqurcp.8958","title":"Demographic Changes Affecting Our Pensions","year":2016,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pillar; Pension; Workforce; Payment; Baby boom; Government (linguistics); Labour economics; Investment (military); Business; Retirement age; Economics; Demographic economics; Finance; Economic growth; Political science; Population; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004289338,0.0002242858,0.0002742508,0.0006025034,0.001694361,0.0004784095,0.0008132357,0.0002290444,0.00006496622],"category_scores_gemma":[0.003931524,0.0001784069,0.0000955407,0.001569904,0.001272208,0.0007538382,0.0002250089,0.0005404896,0.0002435479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004310479,"about_ca_system_score_gemma":0.001113157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03873889,"about_ca_topic_score_gemma":0.04086534,"domain_scores_codex":[0.9955225,0.0003261501,0.0002446294,0.0006626781,0.00154628,0.001697764],"domain_scores_gemma":[0.9969281,0.0005261394,0.0001497265,0.0002162863,0.001415411,0.0007643155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003543427,0.00005568737,0.007994886,0.00005986789,0.00004585842,0.00002477113,0.01770325,5.483382e-8,0.007206193,0.7766199,0.149041,0.04121318],"study_design_scores_gemma":[0.001139947,0.0004201477,0.01105311,0.001501741,0.00002779409,0.00001874749,0.038151,0.00002076736,0.003244781,0.3700522,0.5732871,0.001082745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2025749,0.00008627491,0.0003638191,0.7747186,0.0003581273,0.000787316,0.00003547625,0.0002593772,0.02081609],"genre_scores_gemma":[0.9818147,0.002477793,0.0001045894,0.0004963558,0.001086288,0.00009445128,8.942176e-7,0.00003300469,0.01389193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7792398,"threshold_uncertainty_score":0.9996053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1524123643904929,"score_gpt":0.409137918752384,"score_spread":0.2567255543618911,"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."}}