{"id":"W7098145947","doi":"","title":"on our Web site: www.osfi-bsif.gc.caACTUARIAL STUDY NO. 8 TECHNICAL ASPECTS OF THE FINANCING OF THE CANADA PENSION PLAN OFFICE OF THE CHIEF ACTUARY TABLE OF CONTENTS","year":2010,"lang":"en","type":"article","venue":"","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Actuary; Plan (archaeology); Pension plan; Table (database); Pension","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":[0.00128153,0.0001517899,0.0003336448,0.00007608721,0.0002333376,0.00002455892,0.0006747011,0.00008941306,0.00009941871],"category_scores_gemma":[0.005780803,0.0000747426,0.0001337355,0.0006228748,0.00008924996,0.0001091367,0.000515615,0.0004421469,0.000005669323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003218897,"about_ca_system_score_gemma":0.0007909259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3132792,"about_ca_topic_score_gemma":0.4386225,"domain_scores_codex":[0.9976342,0.00005723828,0.0006922416,0.0002255437,0.001154975,0.0002358042],"domain_scores_gemma":[0.9971733,0.0002020164,0.001053891,0.0007608977,0.0007981164,0.00001177721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008015024,0.001794536,0.4669114,0.0004447352,0.0001037551,0.000005543074,0.0001524294,0.000725873,0.4570765,0.01035355,0.06061471,0.001015465],"study_design_scores_gemma":[0.001217442,0.00008652663,0.9771412,0.0002292088,0.00007862093,0.000001547448,0.0005024149,0.001720107,0.01647639,0.0001700915,0.002241162,0.000135287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802042,0.000003275411,0.000002901604,0.0006184019,0.001139167,0.0008248633,0.00001035059,0.00001098405,0.0171859],"genre_scores_gemma":[0.9984502,5.598955e-7,0.00001140617,0.0001638758,0.0001785505,0.000007513538,0.000002705386,0.00001447071,0.00117068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5102298,"threshold_uncertainty_score":0.6920579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894104562160109,"score_gpt":0.2626435929464566,"score_spread":0.2337025473248555,"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."}}