{"id":"W38449572","doi":"10.1177/00938548241230471","title":"The Importance of Portfolio Rebalancing in Volatile Markets","year":2003,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts","keywords":"Asset allocation; Portfolio; Investment strategy; Investment (military); Position (finance); Business; Investment policy; Asset (computer security); Finance; Financial market; Economics; Actuarial science; Microeconomics; Computer science; Market liquidity","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0004935876,0.0001022495,0.0002070019,0.00007081481,0.0001131808,0.00003956726,0.00009240708,0.0000550836,0.0001128723],"category_scores_gemma":[0.0001727246,0.0000892926,0.00003952753,0.0001243224,0.0001043405,0.0001491416,0.0000196797,0.0001018204,0.000007389918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002341611,"about_ca_system_score_gemma":0.0000262492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007661837,"about_ca_topic_score_gemma":0.00006955285,"domain_scores_codex":[0.999068,0.00001356103,0.0004673933,0.0002015377,0.00003119365,0.0002183037],"domain_scores_gemma":[0.9994871,0.00006677183,0.000209462,0.0001768557,0.00002050775,0.00003932233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003009622,0.0001233391,0.4901428,0.000265206,0.000004650331,0.00002569213,0.0003740475,7.962161e-7,0.0001007056,0.506933,0.0004941702,0.001505548],"study_design_scores_gemma":[0.0002972062,0.00007463398,0.9863949,0.00002856255,0.0001829343,0.00001169707,0.002036596,0.00004601685,0.0001355111,0.006802568,0.003829935,0.0001593967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623588,0.00409106,0.00001890636,0.00003403012,0.000258642,0.0001244983,0.00001437052,0.000005970859,0.03309376],"genre_scores_gemma":[0.9981523,0.0009546831,0.0002462094,0.00009044752,0.00002500065,0.00002703651,0.000002128024,0.00000930044,0.0004928623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5001304,"threshold_uncertainty_score":0.3641247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650288810750531,"score_gpt":0.250182129914037,"score_spread":0.2136792418065317,"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."}}