{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001555032,0.0003891434,0.001070899,0.000234976,0.00007587256,0.0001196429,0.001322351,0.0002900057,0.008613526],"category_scores_gemma":[0.0004311626,0.0004176004,0.000569969,0.00005414171,0.0001160286,0.0002356015,0.0006971776,0.0003567623,0.005845497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401592,"about_ca_system_score_gemma":0.0002428669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042452,"about_ca_topic_score_gemma":0.00003824772,"domain_scores_codex":[0.9961972,0.00004035427,0.0022277,0.00114023,0.00007004903,0.0003244376],"domain_scores_gemma":[0.9971083,0.000118304,0.001611925,0.001003141,0.00008583346,0.0000724527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001360276,0.0000760519,0.01197935,0.0008675398,0.0001711754,0.000002501681,0.00004266368,0.0003623826,4.2936e-7,0.9395153,0.0235085,0.02346051],"study_design_scores_gemma":[0.0002362886,0.000009787672,0.01827056,0.001689913,0.0000144037,0.000007001847,3.15112e-7,0.0006769879,0.000001884029,0.3094185,0.669242,0.0004322984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01617618,0.3628506,0.01875948,0.05487361,0.03566754,0.003276197,0.008140044,0.0003370155,0.4999193],"genre_scores_gemma":[0.5518804,0.4174981,0.00235746,0.008371833,0.005405871,0.0007316627,0.001378485,0.0002778068,0.0120985],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6457335,"threshold_uncertainty_score":0.9998276,"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."}}