{"id":"W2236821579","doi":"10.25916/sut.26225570","title":"Financial contagion: geographical proximity or trade link?","year":2024,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Finance; Link (geometry); Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006434105,0.0001933814,0.0004160036,0.001567297,0.0004046307,0.001536663,0.0002632835,0.0005212327,0.007550245],"category_scores_gemma":[0.005442919,0.0001086931,0.0003539707,0.002690592,0.0007388495,0.001527291,0.0007693926,0.0006990806,0.000413387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273058,"about_ca_system_score_gemma":0.0002221614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005387978,"about_ca_topic_score_gemma":0.005178929,"domain_scores_codex":[0.9995465,0.0001420681,0.00004940823,0.0001094376,0.00007177662,0.0000808324],"domain_scores_gemma":[0.9932222,0.003311514,0.002431622,0.0003533816,0.0003332892,0.0003479889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001095628,0.00005664378,0.9728079,0.0001394268,0.0003311347,0.0008800885,0.001448047,0.0009156187,0.0005751036,0.003908619,0.0004468885,0.01838089],"study_design_scores_gemma":[0.00000873404,0.0001166924,0.9836392,0.0001238652,0.0003117374,0.0007554725,0.002838074,0.003956767,0.0003949671,0.005051745,0.002783249,0.00001959309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850825,0.00220454,0.001934833,0.001020559,0.00003157695,0.00003137533,0.0002393041,0.00001581913,0.009439458],"genre_scores_gemma":[0.9990512,0.0003704014,0.0001501568,0.00003493199,0.00002409948,0.000003426996,0.00005423081,0.000001494865,0.0003101598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007550245,"threshold_uncertainty_score":0.02525806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03952570389222448,"score_gpt":0.2696964268886645,"score_spread":0.23017072299644,"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."}}