{"id":"W3124949042","doi":"10.2139/ssrn.1883787","title":"Eliciting Risk Preferences: When is Simple Better?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Alberta","funders":"","keywords":"Simple (philosophy); Computer science; Econometrics; Mathematics; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006471429,0.0005350283,0.001147866,0.0006467113,0.0005141718,0.003316832,0.0005678661,0.001797126,0.01390404],"category_scores_gemma":[0.05819724,0.0003512626,0.0008017619,0.0007653254,0.001171485,0.006348046,0.001616837,0.001411782,0.001441358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006227265,"about_ca_system_score_gemma":0.0006713687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004781976,"about_ca_topic_score_gemma":0.001180224,"domain_scores_codex":[0.9963598,0.001481896,0.0004015509,0.000390497,0.001142933,0.0002233348],"domain_scores_gemma":[0.962944,0.0227689,0.006395278,0.004300518,0.001968682,0.001622563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01468872,0.005293213,0.0825642,0.005281819,0.001490729,0.0006846442,0.004959541,0.007945531,0.06905226,0.05992081,0.01483251,0.733286],"study_design_scores_gemma":[0.002561202,0.01633732,0.1998934,0.001634704,0.002316655,0.001497332,0.007556823,0.02721097,0.03436642,0.6670818,0.03890051,0.00064291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630537,0.001449925,0.0104817,0.005627629,0.000332459,0.0001828473,0.0002796986,0.00009113304,0.01850092],"genre_scores_gemma":[0.9842189,0.0009979457,0.01148066,0.001232378,0.0002336872,0.00008961361,0.0001694177,0.0000528231,0.001524526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390404,"threshold_uncertainty_score":0.04651362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024320880113661,"score_gpt":0.3553509570677484,"score_spread":0.2529188690563823,"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."}}