{"id":"W1514149724","doi":"10.2139/ssrn.2468465","title":"Loss Aversion in the Laboratory","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada; Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Loss aversion; Risk aversion (psychology); Preference; Compensation (psychology); Economics; Task (project management); Experimental economics; Taste aversion; Psychology; Actuarial science; Microeconomics; Social psychology; Expected utility hypothesis; Financial economics","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":[0.002137691,0.0008953707,0.0007375776,0.000689354,0.0004578204,0.002043277,0.0007458008,0.001093338,0.0116254],"category_scores_gemma":[0.006871281,0.0003398129,0.0004039334,0.0002909409,0.001362425,0.001370073,0.001435447,0.002461325,0.001288597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007346246,"about_ca_system_score_gemma":0.0009651534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009480693,"about_ca_topic_score_gemma":0.0007389347,"domain_scores_codex":[0.9986017,0.0005097319,0.00006227404,0.0003380372,0.0003215815,0.00016677],"domain_scores_gemma":[0.9952189,0.001598343,0.0008091152,0.001310379,0.0002362489,0.000826978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02885625,0.02386595,0.03280856,0.0007806742,0.0005726189,0.0008644465,0.001640083,0.01100218,0.6670753,0.06498194,0.01848887,0.1490631],"study_design_scores_gemma":[0.006011174,0.04805883,0.09892339,0.0005928574,0.001410324,0.003321933,0.002404494,0.1434436,0.3620872,0.2807015,0.05208343,0.0009612268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658536,0.0004363799,0.0118168,0.001144191,0.000237564,0.00008993322,0.0002898996,0.0003110377,0.0198205],"genre_scores_gemma":[0.9829564,0.0003286478,0.004041576,0.0007174113,0.00009872213,0.0001668541,0.0002218128,0.00008423826,0.01138425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0116254,"threshold_uncertainty_score":0.03889084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458233949557936,"score_gpt":0.341083179402152,"score_spread":0.3065008399065726,"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."}}