{"id":"W4300678425","doi":"10.5281/zenodo.5907999","title":"Impact de la dégradation de la conjoncture économique sur l'accroissement des taux de défaut des clients de la banque","year":2018,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.004460367,0.0007801273,0.0009674435,0.001215572,0.0007776876,0.005263471,0.001834978,0.002782137,0.009274412],"category_scores_gemma":[0.01359009,0.0007651052,0.001345498,0.001416608,0.001704736,0.003672914,0.001842024,0.002616677,0.0008880829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004800035,"about_ca_system_score_gemma":0.002291428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.050936,"about_ca_topic_score_gemma":0.03580732,"domain_scores_codex":[0.9983684,0.0004727384,0.00008037737,0.0003648683,0.0004281177,0.0002855659],"domain_scores_gemma":[0.9897763,0.005946251,0.001748634,0.0007633709,0.001254175,0.0005114098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005427318,0.0002694915,0.195997,0.0002339738,0.0003792756,0.0008857939,0.00113241,0.7118374,0.006087395,0.0424749,0.001010076,0.03914962],"study_design_scores_gemma":[0.00005257201,0.0003625471,0.152699,0.0001521374,0.0002478396,0.000706758,0.001325369,0.7936836,0.004997121,0.03787775,0.007746839,0.0001484899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280062,0.002026714,0.05697239,0.001630454,0.00006496753,0.00007927776,0.0006882924,0.0001172337,0.01041456],"genre_scores_gemma":[0.9851806,0.0007014505,0.004472459,0.00006498307,0.0000218568,0.00004035556,0.0002447564,0.00003920354,0.009234433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.050936,"threshold_uncertainty_score":0.1012791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152632306105459,"score_gpt":0.2652782207727943,"score_spread":0.2337518977117398,"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."}}