{"id":"W2152123250","doi":"10.2139/ssrn.274939","title":"Portfolio Selection with Multiple Assets and Capital Gains Taxes","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; University of British Columbia","funders":"","keywords":"Portfolio; Selection (genetic algorithm); Economics; Capital (architecture); Business; Working capital; Monetary economics; Financial economics; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003895375,0.0001199669,0.0001861962,0.0001389648,0.0002704953,0.00006631847,0.0001066213,0.00006180745,0.00002113952],"category_scores_gemma":[0.00004914734,0.0001174637,0.00004027567,0.0002688402,0.00003898612,0.0002117248,0.00001560961,0.0005668517,0.00004601576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525011,"about_ca_system_score_gemma":0.0002472778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003484553,"about_ca_topic_score_gemma":0.001857797,"domain_scores_codex":[0.9985116,0.000002428815,0.0002717336,0.0002319354,0.00003807692,0.0009442705],"domain_scores_gemma":[0.9995362,0.00002042426,0.0002370311,0.00008481618,0.00004748516,0.00007399736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002881098,0.00005101326,0.08837794,0.000002357845,0.00004129941,0.000001716037,0.00006524513,0.00001841874,0.00001923392,0.9084797,0.00002557473,0.002888727],"study_design_scores_gemma":[0.0006943134,0.0003310586,0.04465716,0.00000680924,0.00001100847,0.00114659,0.0002711829,0.000592858,0.000009061509,0.9460759,0.005990623,0.0002134534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4113015,0.003012688,0.5837669,0.0003189281,0.00004688912,0.0001002776,0.00001405119,0.00002171997,0.00141704],"genre_scores_gemma":[0.9955642,0.002732963,0.0005067234,0.00005481897,0.000224773,0.00002034521,0.000004549979,0.0000201276,0.0008714478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5842628,"threshold_uncertainty_score":0.4790033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204990159447509,"score_gpt":0.2117726898082811,"score_spread":0.199722788213806,"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."}}