{"id":"W4384299510","doi":"10.1002/ijfe.2834","title":"Making sense of uncertainty: An application to the Scandinavian banking sector","year":2023,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Fundação para a Ciência e a Tecnologia; Linköpings Universitet","keywords":"Spillover effect; Economics; Geopolitics; Contrast (vision); Financial crisis; Financial system; Monetary economics; International economics; Financial economics; Macroeconomics; 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":[0.001320953,0.0001056612,0.000289138,0.0003315293,0.00006116752,0.00007771879,0.0005793878,0.00005648443,0.00007527653],"category_scores_gemma":[0.000111533,0.0001067225,0.0001440028,0.0002009816,0.00003677784,0.00027159,0.00008679782,0.0001465581,0.00003219856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271008,"about_ca_system_score_gemma":0.00004621088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001155736,"about_ca_topic_score_gemma":0.0001763882,"domain_scores_codex":[0.9986385,0.00001699452,0.0009116892,0.0002092298,0.00005624546,0.0001674107],"domain_scores_gemma":[0.9983468,0.00008759359,0.001077877,0.0002670058,0.0001777103,0.00004301278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004912139,0.0001831148,0.3397658,0.00003036382,0.0003081805,0.00002344862,0.002358822,0.1423227,0.0001224507,0.4499313,0.001170162,0.06329243],"study_design_scores_gemma":[0.0005842054,0.0001377117,0.1616359,0.00007659707,0.000008356062,0.00004911553,0.0001519982,0.645045,0.00004434362,0.1114357,0.08057993,0.0002511365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857807,0.00008401703,0.008776164,0.001813438,0.0011939,0.0001278842,0.0002330658,0.000009221641,0.001981576],"genre_scores_gemma":[0.9983122,0.0002645567,0.0006371606,0.0002827384,0.0003855447,0.00000694259,0.00001461543,0.00001663477,0.00007960779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5027223,"threshold_uncertainty_score":0.4352018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004287453875366,"score_gpt":0.2816665544028883,"score_spread":0.2416236798641347,"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."}}