{"id":"W4413079922","doi":"10.3982/te5799","title":"Anticomonotonicity for preference axioms: The natural counterpart to comonotonicity","year":2025,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Axiom; Ambiguity; Mathematical economics; Expected utility hypothesis; Preference; Ambiguity aversion; Subjective expected utility; Variation (astronomy); Mathematics; Arbitrage; Risk aversion (psychology); Economics; Computer science; Financial economics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003801773,0.000270742,0.0005971218,0.0001955737,0.0004006199,0.0007777613,0.002323505,0.0001473053,0.0002386505],"category_scores_gemma":[0.003072321,0.0001748594,0.0003020899,0.0003316944,0.0008151658,0.0002136142,0.0005892888,0.0003025335,0.0004539365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987609,"about_ca_system_score_gemma":0.0002280124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001693001,"about_ca_topic_score_gemma":0.00007733123,"domain_scores_codex":[0.9972479,0.0001464924,0.001064935,0.0008251963,0.0002005616,0.0005149046],"domain_scores_gemma":[0.9925041,0.005497755,0.0002014397,0.001367613,0.0002610963,0.0001680615],"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":[0.0003300147,0.00007068396,0.0003472797,0.000002121768,0.00001859424,4.239377e-7,0.000144563,0.0004590322,0.0000350983,0.886855,0.002203251,0.1095339],"study_design_scores_gemma":[0.0004202382,0.000100728,0.001427722,0.00002278669,0.00003302053,0.000003478136,0.0002727831,0.07045988,0.0008108788,0.8825096,0.04369214,0.0002466681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584554,0.00003894998,0.02245585,0.00797684,0.001645235,0.0008907076,0.0001123093,0.00005630354,0.008368388],"genre_scores_gemma":[0.9931019,0.00002013858,0.001386347,0.004865518,0.00007461492,0.00009025571,0.00000488391,0.00001691586,0.000439401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1092873,"threshold_uncertainty_score":0.749997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08505154140543643,"score_gpt":0.3991289766067753,"score_spread":0.3140774352013389,"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."}}