{"id":"W7098186621","doi":"","title":"Stress Testing the Corporate Loans Portfolio of the Canadian Banking Sector.” Bank of Canada Working Paper No","year":2006,"lang":"en","type":"article","venue":"","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stress testing (software); Stress test; Portfolio; Stress (linguistics); Work (physics); Resilience (materials science); Psychological resilience; Credit risk; Focus (optics)","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":[0.001249627,0.0004029803,0.0001630519,0.001878539,0.001349268,0.001347673,0.0006003856,0.0003762589,0.002363583],"category_scores_gemma":[0.002360487,0.0001311743,0.0002261927,0.002034113,0.0004704516,0.0005019636,0.000572819,0.0003633146,0.0003906333],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0152732,"about_ca_system_score_gemma":0.01473226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9109083,"about_ca_topic_score_gemma":0.9463176,"domain_scores_codex":[0.9991696,0.00004673296,0.00003617027,0.00005011755,0.0005167061,0.0001806579],"domain_scores_gemma":[0.996632,0.000126817,0.0002690791,0.00008456901,0.002459405,0.0004280568],"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":[0.000777922,0.0002747213,0.639944,0.0002178813,0.0001177808,0.0005573389,0.002542137,0.006077198,0.01108196,0.004553542,0.08457888,0.2492767],"study_design_scores_gemma":[0.00001757646,0.0001141497,0.9454237,0.00005837108,0.00004089612,0.00009111023,0.002338067,0.004127587,0.006445181,0.001082365,0.04022003,0.00004105931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435094,0.003705881,0.0008117544,0.003873811,0.0001179354,0.0001835542,0.01446539,0.00006617684,0.03326606],"genre_scores_gemma":[0.9808835,0.001260046,0.0008489012,0.0001405835,0.000024624,0.00002574973,0.004053747,0.000007517068,0.01275521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9847268,"threshold_uncertainty_score":0.1792326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902536424340383,"score_gpt":0.1943115824274315,"score_spread":0.1652862181840277,"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."}}