{"id":"W4383065974","doi":"10.1016/j.jeconbus.2023.106129","title":"Portfolio Choice with Endogenous Donations - Modeling University Endowments","year":2023,"lang":"en","type":"article","venue":"Journal of Economics and Business","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Economics; Endowment; Donation; Portfolio; Investment (military); Endowment effect; Microeconomics; Asset (computer security); Substitution (logic); Asset allocation; Financial economics","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":[0.0002387405,0.00009336031,0.0002637554,0.0003304246,0.0001281635,0.00007567384,0.0001199548,0.00004180232,0.00003293381],"category_scores_gemma":[0.00002469262,0.00009272462,0.00004525757,0.0002634308,0.00003716419,0.0005390201,0.00003449505,0.00007327631,0.00001409837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005731842,"about_ca_system_score_gemma":0.00006444849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001759211,"about_ca_topic_score_gemma":0.00004797966,"domain_scores_codex":[0.9993489,0.00000408346,0.0003468496,0.0001336893,0.00001481836,0.0001516061],"domain_scores_gemma":[0.9993524,0.00002572667,0.0003916021,0.00008424764,0.00008682095,0.00005918536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000147341,0.0001492708,0.03953695,0.00006346598,0.0002611747,0.0001041788,0.0002748314,0.06025942,0.00002830265,0.8964199,0.0007816807,0.001973507],"study_design_scores_gemma":[0.006859897,0.0005665757,0.2304635,0.0001710498,0.0001137061,0.0004487749,0.001281793,0.1177448,0.00003472166,0.1679886,0.4730581,0.001268544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776052,0.0004286103,0.0003930557,0.000556109,0.0002795492,0.00006473865,0.00005822163,0.000009173396,0.02060534],"genre_scores_gemma":[0.9914166,0.007654858,0.0003424504,0.00007808956,0.0001267247,5.299948e-7,0.000006533958,0.00001212842,0.0003621047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7284313,"threshold_uncertainty_score":0.37812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06361212293805013,"score_gpt":0.1932091097168794,"score_spread":0.1295969867788292,"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."}}