{"id":"W2605593537","doi":"10.11575/prism/30163","title":"Increased Efficiency for Canadian Retirement Investment","year":2015,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Investment (military); Business; Economics; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003871542,0.0004813386,0.0003507852,0.004129093,0.004741024,0.0070363,0.001253524,0.001148693,0.0287419],"category_scores_gemma":[0.01471584,0.0002578771,0.0008811351,0.003618567,0.001082405,0.001244162,0.002569793,0.001193236,0.002935366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.115033,"about_ca_system_score_gemma":0.1410015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9757715,"about_ca_topic_score_gemma":0.9847089,"domain_scores_codex":[0.9939352,0.0004516745,0.0001514535,0.0003651024,0.003512247,0.001584291],"domain_scores_gemma":[0.9902555,0.0004040421,0.0003230528,0.0004941606,0.007010975,0.001512205],"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":[0.0002283801,0.00006914971,0.03129229,0.0003351573,0.00009717962,0.0002180408,0.001344785,0.002176586,0.000973965,0.3338934,0.362925,0.2664461],"study_design_scores_gemma":[0.00005137139,0.00004379415,0.07391348,0.0002493984,0.0000769978,0.0001803117,0.001304587,0.001581223,0.0009465758,0.007282515,0.9142985,0.00007123822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05710943,0.007505738,0.004506588,0.06040571,0.001098623,0.0002080729,0.004371326,0.0007256273,0.8640689],"genre_scores_gemma":[0.6174685,0.0066205,0.0107758,0.008415421,0.0003677291,0.0001351169,0.003611574,0.0002886779,0.3523166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.115033,"threshold_uncertainty_score":0.8346264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182017866172013,"score_gpt":0.3154874636555223,"score_spread":0.197285677038321,"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."}}