{"id":"W7097499538","doi":"","title":"Seasonal asset allocation: evidence from mutual fund flows’, working paper","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Mutual fund; Equity (law); Stock (firearms); Asset allocation; Asset (computer security); Alternative asset; Target date fund","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":[0.001176333,0.0001002844,0.0001276015,0.001111608,0.0005056438,0.0007827571,0.00030406,0.0003613414,0.002634657],"category_scores_gemma":[0.0105446,0.0001373051,0.0001464762,0.00130189,0.0004033733,0.0008304259,0.0007214146,0.0003098811,0.0002879227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006366355,"about_ca_system_score_gemma":0.0004247066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03426024,"about_ca_topic_score_gemma":0.04545308,"domain_scores_codex":[0.9996423,0.00009819175,0.00003594516,0.0000569068,0.00009222423,0.00007437804],"domain_scores_gemma":[0.991432,0.001951977,0.004790227,0.0005233866,0.0006853325,0.0006170478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002723028,0.0000449943,0.9761044,0.00002839003,0.00009899525,0.0001199713,0.001039922,0.0002439543,0.0002297927,0.001422872,0.003057263,0.01733713],"study_design_scores_gemma":[0.00001226306,0.00002643392,0.9954069,0.00001192787,0.00003058013,0.00007789869,0.0004038907,0.0003944845,0.0001513911,0.000485612,0.002993764,0.000004923071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945189,0.0007115145,0.000144731,0.0006537673,0.00001046519,0.000006806375,0.0009524453,0.000007642636,0.0029937],"genre_scores_gemma":[0.9980578,0.0003806823,0.00009852998,0.00005063638,0.00002187156,0.000004256862,0.0006753853,0.00000297341,0.0007077788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03426024,"threshold_uncertainty_score":0.06812167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1579582182115647,"score_gpt":0.239770460998909,"score_spread":0.08181224278734431,"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."}}