{"id":"W2061257103","doi":"10.1080/15427560.2013.849705","title":"Seasonal Anomalies in Pension Plans","year":2013,"lang":"en","type":"article","venue":"Journal of Behavioral Finance","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; Gobierno de Aragón","keywords":"Pension; Portfolio; Volatility (finance); Quarter (Canadian coin); Economics; Finance; Accounting; Business; Geography","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":[0.00105243,0.0001583802,0.0002041525,0.001784267,0.000137967,0.000869058,0.0002849642,0.0002501958,0.002692905],"category_scores_gemma":[0.005928935,0.00007241492,0.0002217352,0.001594681,0.0001510849,0.0003004868,0.0004645805,0.0002579346,0.0004582312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008111135,"about_ca_system_score_gemma":0.0002816815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014144,"about_ca_topic_score_gemma":0.00874961,"domain_scores_codex":[0.9994749,0.00005859929,0.00004444194,0.00009219973,0.0002310505,0.00009877476],"domain_scores_gemma":[0.9963585,0.0006189194,0.001753844,0.0002314286,0.0008029392,0.0002344768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001819131,0.00004074717,0.9402258,0.00005035795,0.00008269134,0.0001728232,0.0003687646,0.003949903,0.001500454,0.001275541,0.003331846,0.04881924],"study_design_scores_gemma":[0.00000168162,0.0000236733,0.9948907,0.000007806628,0.000007296646,0.00005086271,0.0001325616,0.001565924,0.0001838827,0.0002909012,0.00283993,0.000004767211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893051,0.0006087626,0.001017188,0.0002458115,0.00004370231,0.00001732213,0.002762657,0.0000834395,0.005915943],"genre_scores_gemma":[0.9972785,0.000126359,0.0001480993,0.00001214608,0.00002945013,0.000004077509,0.001354376,0.00001122695,0.001035751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01014144,"threshold_uncertainty_score":0.02016479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026243262646167,"score_gpt":0.2502899885057978,"score_spread":0.2300275558793362,"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."}}