{"id":"W2999984739","doi":"10.1017/asb.2019.39","title":"BILATERAL RISK SHARING WITH HETEROGENEOUS BELIEFS AND EXPOSURE CONSTRAINTS","year":2020,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Constraint (computer-aided design); Monotone polygon; Rank (graph theory); Expected utility hypothesis; Distortion (music); Monotonic function; Function (biology); Mathematical optimization; Mathematical economics; Econometrics; Computer science; Economics; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007243026,0.0009214226,0.001640928,0.0005803353,0.0006358972,0.002722185,0.001596952,0.002167853,0.005750473],"category_scores_gemma":[0.0179452,0.0005004231,0.0008795782,0.0007741163,0.002169578,0.004033796,0.002593787,0.001778297,0.0004272989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182289,"about_ca_system_score_gemma":0.0009558826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305311,"about_ca_topic_score_gemma":0.0005801948,"domain_scores_codex":[0.99347,0.003585004,0.0002629343,0.0007872803,0.001097031,0.0007978062],"domain_scores_gemma":[0.9903225,0.005319952,0.002012544,0.001230301,0.0005494201,0.0005652928],"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":[0.0002386655,0.0001281448,0.001245471,0.0000962589,0.0001184842,0.0004118201,0.000246251,0.3116291,0.002016211,0.6644378,0.0008003715,0.0186315],"study_design_scores_gemma":[0.00007280143,0.0001079969,0.000759502,0.0000352549,0.00004220493,0.0001408874,0.0001196628,0.4351758,0.0008365257,0.5612895,0.001384217,0.00003555215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3160903,0.0004939153,0.646486,0.001971076,0.00005063208,0.0001253548,0.0002075616,0.00008112872,0.03449393],"genre_scores_gemma":[0.9849125,0.0001401009,0.01059461,0.00007679794,0.00004054032,0.00005817709,0.00002851201,0.00001011591,0.004138681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007243026,"threshold_uncertainty_score":0.03830522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04390057193014945,"score_gpt":0.2777916528633823,"score_spread":0.2338910809332329,"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."}}