{"id":"W2066188514","doi":"10.1007/s11238-012-9348-x","title":"Emotional balance and probability weighting","year":2012,"lang":"en","type":"article","venue":"Theory and Decision","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Taiwan University","keywords":"Weighting; Balance (ability); Normative; Balance theory; Psychology; Econometrics; Social psychology; Mathematics; Statistics; Physics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0114076,0.000138156,0.0002566529,0.0001281994,0.0002956163,0.0002267156,0.0002474844,0.0000948755,0.0004671721],"category_scores_gemma":[0.003591264,0.00009147703,0.00005804084,0.0002002596,0.0001920463,0.000688086,0.0002757842,0.0001309565,0.0002496636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001969378,"about_ca_system_score_gemma":0.00001670873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001471662,"about_ca_topic_score_gemma":0.00000131137,"domain_scores_codex":[0.9980599,0.0002498635,0.0005136266,0.000425688,0.0004893506,0.0002615619],"domain_scores_gemma":[0.9931872,0.00590706,0.0001512216,0.0004318463,0.0001038383,0.0002187794],"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":[0.0001682965,0.00005954862,0.0457003,0.000001262307,0.000001893285,0.000001046223,0.0002812571,0.000005350858,0.0001100894,0.0468704,0.0003749421,0.9064256],"study_design_scores_gemma":[0.0002194671,0.00003445297,0.08771411,0.00002490411,0.000005910048,0.00004745177,0.0001973403,0.0002719787,0.00007981747,0.9076682,0.003616161,0.0001202535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815633,0.000640858,0.01503546,0.00006870639,0.0004762436,0.00009874463,0.000009773014,0.00002966523,0.002077305],"genre_scores_gemma":[0.9909294,0.00002883197,0.008590906,0.0001571297,0.0001426293,0.000002983333,0.000001130382,0.000007392114,0.0001396006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9063054,"threshold_uncertainty_score":0.5115207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08542908166859771,"score_gpt":0.3755244638367624,"score_spread":0.2900953821681647,"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."}}