{"id":"W3124488210","doi":"10.2139/ssrn.3723398","title":"The Missing Links: A Global Study on Uncovering Financial Network Structures from Partial Data","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Financial networks; Missing data; Financial market; Rank (graph theory); Computer science; Range (aeronautics); Econometrics; Business; Financial crisis; Data mining; Finance; Economics; Systemic risk; Engineering; Machine learning; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003461302,0.0001906109,0.0002959174,0.00002808352,0.002697797,0.0009144721,0.001838619,0.0001289605,0.00002042866],"category_scores_gemma":[0.00108123,0.0001643476,0.00008988511,0.0001008542,0.0001142204,0.0003875539,0.0003124212,0.001407681,0.00002619449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008368198,"about_ca_system_score_gemma":0.0006949948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007577867,"about_ca_topic_score_gemma":0.005725147,"domain_scores_codex":[0.9970997,0.0000640065,0.0006236774,0.0005225666,0.0001266729,0.001563373],"domain_scores_gemma":[0.9974398,0.0001076558,0.0008236283,0.001533778,0.00003377716,0.00006136296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000122176,0.0001342214,0.4687452,0.000001532619,0.000156204,0.000003192113,0.0002247138,0.002771456,9.212162e-7,0.4835321,0.000181163,0.04412714],"study_design_scores_gemma":[0.0004685273,0.0001232366,0.3836923,0.000008121908,0.00001186313,0.000007415206,0.00009700446,0.001652093,7.266773e-7,0.6109817,0.002824706,0.0001323413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786142,0.005420638,0.01168715,0.001284469,0.001922184,0.0002350712,0.00008558914,0.00002443452,0.0007262467],"genre_scores_gemma":[0.9975033,0.0002908685,0.0001110996,0.00004937913,0.001970978,0.000002530535,0.000008099464,0.00001786226,0.0000458375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274496,"threshold_uncertainty_score":0.9986005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082202197096305,"score_gpt":0.27398566772519,"score_spread":0.2431636457542269,"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."}}