{"id":"W2152949417","doi":"10.2139/ssrn.1786985","title":"Level 3 Assets: Booking Profits, Concealing Losses","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Commerce; Advertising; Monetary economics; Economics","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":[0.001024245,0.0004722619,0.0005084705,0.0008364927,0.0003502048,0.006118854,0.0007550644,0.001960605,0.01925981],"category_scores_gemma":[0.009971183,0.0002063263,0.0005460851,0.0009844083,0.001109079,0.004321734,0.001282001,0.001595387,0.001926847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009292079,"about_ca_system_score_gemma":0.0008594151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055617,"about_ca_topic_score_gemma":0.00102994,"domain_scores_codex":[0.9993827,0.0001180614,0.00005019727,0.000129425,0.0001715297,0.0001480195],"domain_scores_gemma":[0.9929028,0.003537178,0.00208685,0.0004034812,0.0004527141,0.0006168758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001313134,0.0003345178,0.0924487,0.0006449393,0.0002441621,0.001264374,0.0006235774,0.04272322,0.003807147,0.6972443,0.01497135,0.1443805],"study_design_scores_gemma":[0.00006889956,0.0003680128,0.05910758,0.0001752798,0.0002682302,0.001563734,0.0005864365,0.03576793,0.003357157,0.886514,0.01213722,0.00008548838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7442373,0.006474844,0.07889102,0.007046668,0.0001856484,0.0001035658,0.003709465,0.0006218145,0.1587297],"genre_scores_gemma":[0.9894128,0.0005847832,0.001974533,0.0001001626,0.00007931646,0.00001437704,0.0002557423,0.000022884,0.007555514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01925981,"threshold_uncertainty_score":0.06443048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05359461506846457,"score_gpt":0.2431254758594393,"score_spread":0.1895308607909748,"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."}}