{"id":"W2344495764","doi":"","title":"Assessing Financial System Vulnerabilities: An Early Warning Approach","year":2013,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Internet privacy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545557,0.0001414964,0.0003872543,0.0000273056,0.000119716,0.0001546713,0.0007102691,0.00004179558,0.00001585783],"category_scores_gemma":[0.0001091576,0.0001206734,0.00005183277,0.0002433353,0.00002531295,0.0008474442,0.00007051208,0.0001574757,0.000003502854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163784,"about_ca_system_score_gemma":0.001461445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1541516,"about_ca_topic_score_gemma":0.003899927,"domain_scores_codex":[0.9983785,0.0001991126,0.0004343223,0.0003118859,0.0003926544,0.0002834957],"domain_scores_gemma":[0.9988157,0.00005415588,0.0001804973,0.0005736775,0.000225374,0.0001506347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001373205,0.00009803513,0.0004450269,0.02138051,0.00003228846,0.00002006421,0.0005890207,0.0007430603,0.0001944698,0.245962,0.02122223,0.709312],"study_design_scores_gemma":[0.0007611776,0.000452431,0.01772968,0.03936248,0.0001523401,0.0002059055,0.0006379148,0.9077267,0.0004825937,0.003544664,0.02610641,0.002837724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02105678,0.02557723,0.9420922,0.0005809673,0.0003365874,0.0005034168,0.000002526232,0.0001274414,0.009722892],"genre_scores_gemma":[0.9676509,0.0002352578,0.03126421,0.0006074311,0.00005362703,0.0000610683,0.000002354762,0.000009369563,0.0001157391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465942,"threshold_uncertainty_score":0.851481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767011867383714,"score_gpt":0.2499533284072484,"score_spread":0.2222832097334112,"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."}}