{"id":"W2081117262","doi":"10.1142/s0219024907004597","title":"EQUILIBRIUM WITH EXCESSIVE HOLDINGS CONSTRAINT: AN APPLICATION TO DC PENSION PLANS","year":2007,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Portfolio; Welfare; Stock (firearms); Pension; Incentive; Stock market; General equilibrium theory; Market clearing; Econometrics; Monetary economics; Microeconomics; Financial economics; Context (archaeology); Finance","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":[0.0005794249,0.0001228693,0.0002456229,0.0001493371,0.00003846406,0.0000847721,0.0002852025,0.00006590429,0.00005366688],"category_scores_gemma":[0.00004201574,0.0001033266,0.00003855564,0.00009566035,0.0003233435,0.0002188981,0.00004766485,0.0001536683,0.00001870781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004150667,"about_ca_system_score_gemma":0.00001968137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006710188,"about_ca_topic_score_gemma":0.000003013883,"domain_scores_codex":[0.9989808,0.000004499807,0.0005051759,0.0002214036,0.0001057607,0.0001823756],"domain_scores_gemma":[0.9992402,0.00006244156,0.0003770119,0.0001011053,0.000112417,0.0001068427],"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":[0.0005104429,0.0000719556,0.001075491,0.000004370854,0.00001940421,0.00001602596,0.0001754582,0.00008592381,0.001472762,0.9915187,0.00007203128,0.004977443],"study_design_scores_gemma":[0.001436803,0.0007631184,0.05088646,0.0001074445,0.00001206781,0.0001813562,0.0002902238,0.0005222874,0.006525895,0.9213166,0.01754889,0.0004088459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92062,0.0001343744,0.05210258,0.001758548,0.0002239621,0.0001342706,0.00004330848,0.000009745704,0.02497316],"genre_scores_gemma":[0.9947764,0.00008035621,0.004028285,0.0008168031,0.0002451783,0.000004614659,0.000004971629,0.0000114136,0.0000319889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07415634,"threshold_uncertainty_score":0.4213536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039267576099504,"score_gpt":0.2279792007847886,"score_spread":0.2175865250237936,"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."}}