{"id":"W2123179754","doi":"10.5555/1838206.1838325","title":"Preference elicitation for risky prospects","year":2010,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Regret; Preference elicitation; Cumulative prospect theory; Preference; Expected utility hypothesis; Utility theory; Prospect theory; Minimax; Decision theory; Game theory; Computer science; Subjective expected utility; Economics; Mathematical economics; Microeconomics; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008921902,0.0007533245,0.0008377411,0.000997054,0.0006715491,0.001645543,0.001158257,0.001340038,0.0094077],"category_scores_gemma":[0.05065075,0.0003377102,0.000804417,0.001299965,0.0008095981,0.003642244,0.002567913,0.001593528,0.001350748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006139539,"about_ca_system_score_gemma":0.0008092052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003377763,"about_ca_topic_score_gemma":0.0006159507,"domain_scores_codex":[0.9861161,0.009205011,0.0008566441,0.0008913816,0.002607367,0.0003236471],"domain_scores_gemma":[0.9659703,0.02421113,0.001462649,0.005424988,0.002371958,0.0005589396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001703946,0.0005216179,0.005125974,0.001319332,0.0001589788,0.0006002102,0.00377083,0.03713264,0.0469502,0.2565393,0.01076227,0.6354147],"study_design_scores_gemma":[0.0003543294,0.0007358348,0.004099502,0.0002495902,0.00009475543,0.001074365,0.00130415,0.4689044,0.04368411,0.4466721,0.0326098,0.0002169681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0294662,0.0001265929,0.9628853,0.0003992382,0.00002719145,0.0003520688,0.0003438333,0.0004438769,0.005955832],"genre_scores_gemma":[0.3771388,0.0002284345,0.618139,0.0002948521,0.00004784266,0.0008806651,0.000605554,0.0001039753,0.002560941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0094077,"threshold_uncertainty_score":0.04718411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04079795695807046,"score_gpt":0.2768015047237196,"score_spread":0.2360035477656492,"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."}}