{"id":"W2012865434","doi":"10.7202/045555ar","title":"Sensibilité des banques aux chocs macroéconomiques : La diversification apporte-t-elle toujours des gains? Cas des banques canadiennes","year":2011,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Economics; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004002471,0.0004817362,0.0008967488,0.001244782,0.0009929986,0.003467549,0.0006201986,0.00162173,0.01397088],"category_scores_gemma":[0.01298755,0.0002849887,0.0007297603,0.001265171,0.001502293,0.001524004,0.001869524,0.001782307,0.0009337243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873957,"about_ca_system_score_gemma":0.001041705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211835,"about_ca_topic_score_gemma":0.01321728,"domain_scores_codex":[0.9971168,0.0009118582,0.00009909386,0.0006468002,0.0008427671,0.0003826577],"domain_scores_gemma":[0.9893337,0.005260345,0.002535989,0.0009843094,0.001476685,0.0004088946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00203869,0.0005131513,0.5199354,0.001250949,0.001483064,0.00169043,0.008031585,0.02081591,0.02107587,0.181586,0.005476001,0.2361031],"study_design_scores_gemma":[0.0001695993,0.0009068926,0.7471673,0.0006903438,0.0007275827,0.001427628,0.007377673,0.01282559,0.01231769,0.1012569,0.114934,0.0001986437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026676,0.005531181,0.007947991,0.002739644,0.0001099208,0.00009134167,0.0004789687,0.00005552959,0.08037765],"genre_scores_gemma":[0.9877653,0.001094924,0.001092793,0.0003937526,0.00004265465,0.00003899307,0.0001552756,0.0000127975,0.009403566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9878817,"threshold_uncertainty_score":0.04673725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226456213194698,"score_gpt":0.2650681636012026,"score_spread":0.1424225422817327,"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."}}