{"id":"W2535260614","doi":"10.1371/journal.pone.0170579","title":"A framework for analyzing contagion in assortative banking networks","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Irish Research Council; Science Foundation Ireland","keywords":"Assortativity; Systemic risk; Cascade; Computer science; Stylized fact; Random graph; Network theory; Statistical physics; Complex network; Econometrics; Mathematics; Topology (electrical circuits); Graph; Theoretical computer science; Statistics; Physics; Economics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001928995,0.001035563,0.0007516233,0.003368307,0.00085835,0.001506583,0.001883346,0.001885616,0.003357864],"category_scores_gemma":[0.0100128,0.0005088851,0.001321603,0.001952292,0.001972906,0.003895304,0.001413028,0.001935064,0.0004554728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276268,"about_ca_system_score_gemma":0.0007914255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177594,"about_ca_topic_score_gemma":0.001689536,"domain_scores_codex":[0.9991739,0.0003769591,0.00004228046,0.0001748371,0.0001584431,0.00007350924],"domain_scores_gemma":[0.9952729,0.003019502,0.0009006237,0.0004053363,0.000225944,0.0001756872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009284708,0.00002951048,0.001333426,0.00005693949,0.0000527338,0.0001946218,0.0001267167,0.3416758,0.00180429,0.6492868,0.0007245755,0.004705281],"study_design_scores_gemma":[0.000004860276,0.00002141701,0.0006058953,0.00001750984,0.00001676303,0.0001159009,0.00003191445,0.5994905,0.0001861206,0.3977168,0.001774317,0.00001795693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0152766,0.0004197136,0.9801553,0.0004069918,0.00003168003,0.00006116876,0.0001835698,0.000110337,0.003354679],"genre_scores_gemma":[0.766969,0.002579615,0.2247073,0.0004257027,0.0003389168,0.0005679755,0.000361218,0.0001074868,0.00394285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003368307,"threshold_uncertainty_score":0.01123315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06470630947277609,"score_gpt":0.3175219645775328,"score_spread":0.2528156551047567,"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."}}