{"id":"W2376711778","doi":"","title":"Systemic Risk Measurement of Commercial Banks in China Based on Principal Components Analysis","year":2013,"lang":"en","type":"article","venue":"Journal of Changsha University","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Systemic risk; Listing (finance); Business; Quarter (Canadian coin); Principal component analysis; Principal (computer security); Government (linguistics); Financial crisis; Finance; Economics; Statistics; Computer science; Geography; Mathematics; Computer security","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":[0.001084301,0.0004455812,0.0003314656,0.002222338,0.0003216704,0.0008174894,0.000253844,0.0002895098,0.0005222669],"category_scores_gemma":[0.002400862,0.0001566731,0.0003522875,0.002298298,0.0003571425,0.0006316659,0.0005541748,0.0003063336,0.00009500128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007826824,"about_ca_system_score_gemma":0.001076815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177959,"about_ca_topic_score_gemma":0.01562459,"domain_scores_codex":[0.9992983,0.0001762081,0.00007186687,0.0001335946,0.0002289273,0.00009111025],"domain_scores_gemma":[0.9982111,0.0003476962,0.0006831051,0.0001035908,0.000508411,0.0001459058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009568502,0.00006663386,0.9625817,0.00003451721,0.0001225229,0.0001789474,0.0002936482,0.0138364,0.001316532,0.00065389,0.0008027804,0.02001674],"study_design_scores_gemma":[0.000009086492,0.0000715203,0.9523595,0.00001044167,0.00004927694,0.00005579709,0.0002844546,0.04581014,0.0006052441,0.0004404612,0.0002871641,0.00001697896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977126,0.00007528184,0.001454636,0.0000566323,0.000002974361,0.0000118978,0.0002275577,0.00001511129,0.0004433248],"genre_scores_gemma":[0.9992366,0.00004565871,0.0003444229,0.000004444327,0.000003217307,0.000005941045,0.0002494217,6.911238e-7,0.0001096494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02177959,"threshold_uncertainty_score":0.04330564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026829420261432,"score_gpt":0.203753978529383,"score_spread":0.1769245582679509,"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."}}