{"id":"W3146324173","doi":"","title":"The CPP Decision","year":2017,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pension; Payment; Government (linguistics); Demographic economics; Pension plan; Business; Actuarial science; Economics; Labour economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006754954,0.0005165942,0.0005955512,0.001440087,0.005718205,0.008284203,0.002607988,0.005869858,0.126418],"category_scores_gemma":[0.03220457,0.0005550679,0.0009650389,0.001497309,0.002587155,0.005124405,0.005089848,0.007409039,0.03944825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008944432,"about_ca_system_score_gemma":0.04073108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08482807,"about_ca_topic_score_gemma":0.1003587,"domain_scores_codex":[0.9845362,0.00169968,0.0006490261,0.002097362,0.006674251,0.004343505],"domain_scores_gemma":[0.9874371,0.001491706,0.0003403095,0.0009407523,0.006632304,0.003157783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005888399,0.00002753033,0.001657811,0.00007523508,0.000009507064,0.0005130782,0.0003707496,0.0001041556,0.0002542399,0.1283403,0.8296723,0.03891604],"study_design_scores_gemma":[0.00001555504,0.00001397117,0.001050609,0.000138623,0.000009884237,0.0002230952,0.0003912721,0.0001361651,0.0002530511,0.01081811,0.9869249,0.00002474015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005688666,0.00183509,0.005608595,0.07045805,0.009185236,0.0005365724,0.003793977,0.0005190443,0.9023747],"genre_scores_gemma":[0.1438905,0.003593954,0.006591714,0.1234222,0.005142394,0.0006635705,0.003616225,0.0009844635,0.7120951],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9151719,"threshold_uncertainty_score":0.4229105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941362055513644,"score_gpt":0.3619668065540039,"score_spread":0.3325531859988675,"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."}}