{"id":"W2508060196","doi":"10.1111/iere.12346","title":"FINANCIAL SAFETY NETS","year":2016,"lang":"en","type":"preprint","venue":"International Economic Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Safety net; Commit; Business; Finance; Market liquidity; Ex-ante; Moral hazard; Economics; Microeconomics","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":[0.002528277,0.000591177,0.0008796557,0.0006110933,0.0004735272,0.001930018,0.0006831129,0.001465323,0.006911744],"category_scores_gemma":[0.007325656,0.0003693216,0.0004183422,0.0003934595,0.001716768,0.00246108,0.001026852,0.001207137,0.0005258983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247142,"about_ca_system_score_gemma":0.001067413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005603945,"about_ca_topic_score_gemma":0.0003934469,"domain_scores_codex":[0.9986874,0.0006105871,0.00006426645,0.0002537501,0.0002230585,0.0001607851],"domain_scores_gemma":[0.9949378,0.002860296,0.0009804887,0.0003956221,0.0004899725,0.0003358302],"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":[0.0003250053,0.000150902,0.001686116,0.0003018444,0.00006456759,0.0001733149,0.00009957742,0.2322063,0.003424659,0.7036709,0.004499792,0.05339706],"study_design_scores_gemma":[0.0002002072,0.0002589481,0.001022832,0.0001349066,0.00003905936,0.000115294,0.00006845265,0.2511745,0.002194795,0.7352225,0.009541021,0.00002768381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.294539,0.003247263,0.6268119,0.006098447,0.0003554912,0.0002938995,0.0006175488,0.000352463,0.0676838],"genre_scores_gemma":[0.9788953,0.0007687493,0.01454274,0.0002205341,0.0001371726,0.00009594454,0.00009608766,0.00001964992,0.005223882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006911744,"threshold_uncertainty_score":0.02312213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145215914314067,"score_gpt":0.2731708532255014,"score_spread":0.2417186940823607,"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."}}