{"id":"W4386686232","doi":"10.54254/2754-1169/15/20230878","title":"Loss Aversion and Protectionism","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Loss aversion; Economics; Prospect theory; Protectionism; Grossman; Behavioral economics; Microeconomics; Empirical research; Risk aversion (psychology); Commercial policy; Positive economics; International economics; Financial economics; Expected utility hypothesis; Keynesian 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003044724,0.0003453186,0.0003530661,0.0008565962,0.0008502797,0.002137911,0.0003708607,0.001109117,0.005045237],"category_scores_gemma":[0.00813289,0.0001513438,0.0004658321,0.0006383738,0.005052675,0.00173855,0.001907812,0.002059943,0.0002939061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092688,"about_ca_system_score_gemma":0.0006339605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005315297,"about_ca_topic_score_gemma":0.0003867497,"domain_scores_codex":[0.9979225,0.000988396,0.00008813506,0.0002795935,0.0004520233,0.0002693732],"domain_scores_gemma":[0.9937922,0.003243827,0.001538574,0.0005548496,0.0004387072,0.0004319035],"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":[0.0001629145,0.0001961112,0.01836391,0.0002563157,0.000120319,0.0003768908,0.002241585,0.00293072,0.001619001,0.9105585,0.002347315,0.06082628],"study_design_scores_gemma":[0.00004145455,0.0002417731,0.02344739,0.0001907979,0.00006760539,0.0008449598,0.001298321,0.002922656,0.0007571217,0.9394516,0.03069358,0.00004265006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.485534,0.01245411,0.07229292,0.01871391,0.0003956242,0.0001435503,0.0002224599,0.00007164627,0.4101718],"genre_scores_gemma":[0.9917173,0.001657028,0.001750258,0.0008768059,0.000151311,0.00002432222,0.0000222908,0.000005915217,0.003794809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005045237,"threshold_uncertainty_score":0.01687801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06986783919150553,"score_gpt":0.3896250657973704,"score_spread":0.3197572266058649,"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."}}