{"id":"W3121300114","doi":"10.34961/4181","title":"A framework for analyzing contagion in assortative banking networks","year":2016,"lang":"en","type":"preprint","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Assortativity; Systemic risk; Cascade; Computer science; Random graph; Network theory; Complex network; Network topology; Statistical physics; Mathematics; Econometrics; Topology (electrical circuits); Graph; Theoretical computer science; Economics; Statistics; Physics; Combinatorics","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":[0.001823455,0.00106851,0.0007431949,0.003176908,0.0008145913,0.00149421,0.001884954,0.002084583,0.003940109],"category_scores_gemma":[0.008993164,0.0004944977,0.001332811,0.00191728,0.001962171,0.003610302,0.001398428,0.001901039,0.0005093271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259063,"about_ca_system_score_gemma":0.0007684013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003367712,"about_ca_topic_score_gemma":0.001768748,"domain_scores_codex":[0.9991596,0.0003902469,0.00004304517,0.0001600924,0.0001660743,0.00008110274],"domain_scores_gemma":[0.9955589,0.002858017,0.000841435,0.000332052,0.0002224185,0.0001872489],"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":[0.000009694007,0.000032028,0.001217931,0.00005505748,0.00004706424,0.0002052187,0.0001103494,0.3537188,0.001610313,0.6381106,0.0008687465,0.004014173],"study_design_scores_gemma":[0.000005582606,0.00002555154,0.0005808868,0.00001987996,0.0000186054,0.0001182552,0.00003467726,0.5986194,0.0001788709,0.3983292,0.002049124,0.00002011187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01803475,0.000592581,0.9750743,0.0006061326,0.0000491768,0.00007327496,0.0002477324,0.0001362244,0.005185906],"genre_scores_gemma":[0.8031409,0.002936625,0.1868877,0.0004769289,0.0003858454,0.0005451199,0.0003792716,0.0001134808,0.005134133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003940109,"threshold_uncertainty_score":0.01318097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303226459321652,"score_gpt":0.3133747585125732,"score_spread":0.2903424939193567,"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."}}