{"id":"W4403779587","doi":"10.33423/jabe.v26i5.7291","title":"Exploring the Effects of the Information Asymmetry on the Card-Debt Crisis","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial system; Debt; Debt crisis; Information asymmetry; Financial crisis; Keynesian economics; Monetary economics; Economics; Business; Macroeconomics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00395716,0.000250171,0.0004332792,0.001208484,0.0007284217,0.002144306,0.0003761847,0.001030079,0.004375784],"category_scores_gemma":[0.02417347,0.0002178196,0.0005329565,0.000892744,0.001276881,0.003802133,0.00150375,0.00213867,0.0001747293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153166,"about_ca_system_score_gemma":0.001228833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00414079,"about_ca_topic_score_gemma":0.002695394,"domain_scores_codex":[0.9980878,0.0009564081,0.0001053647,0.0001545243,0.0003243351,0.0003715081],"domain_scores_gemma":[0.9563745,0.02963715,0.01010153,0.001101346,0.001835297,0.0009502711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002464149,0.001761313,0.7532268,0.0005572288,0.0006555449,0.004425249,0.00630438,0.02524525,0.006326216,0.1148337,0.004006905,0.0801933],"study_design_scores_gemma":[0.0003689333,0.00122201,0.6991532,0.0002555292,0.000946506,0.0009424451,0.01731464,0.1249918,0.006983502,0.1422659,0.005364733,0.000190761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834471,0.000448809,0.002928954,0.002471857,0.00002440017,0.00004727124,0.0001249736,0.0000138289,0.01049283],"genre_scores_gemma":[0.9994261,0.0001456927,0.0001090881,0.00006235493,0.00001433658,0.000005948704,0.00001925976,0.000001359253,0.0002158299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004375784,"threshold_uncertainty_score":0.02092773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418972680438362,"score_gpt":0.1697573191618681,"score_spread":0.1555675923574845,"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."}}