{"id":"W3125342394","doi":"","title":"European household credit markets continue to fall: Key findings from the ECRI Statistical Package","year":2013,"lang":"en","type":"article","venue":"","topic":"Finance, Markets, and Regulation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deleveraging; Household debt; Debt; Demographic economics; Economics; Business; Finance","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":[0.006840149,0.0006160121,0.0009591577,0.004339847,0.0004133155,0.002548825,0.001244398,0.0009386158,0.01593909],"category_scores_gemma":[0.03360246,0.0003186602,0.001111106,0.01588467,0.0005305492,0.002071133,0.002087225,0.001812874,0.005346818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008545003,"about_ca_system_score_gemma":0.001391758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009897633,"about_ca_topic_score_gemma":0.003565926,"domain_scores_codex":[0.9917523,0.002683905,0.0008926642,0.001268812,0.00253629,0.0008661022],"domain_scores_gemma":[0.9730311,0.01452083,0.006618614,0.001949738,0.003243392,0.0006362633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009512811,0.0002050174,0.4092335,0.001536564,0.0008956859,0.0007423239,0.002036659,0.004093815,0.0002367581,0.01092774,0.4897251,0.07941562],"study_design_scores_gemma":[0.00005216068,0.0001535468,0.8360619,0.0004823837,0.0001581356,0.0004564261,0.003921119,0.002512356,0.0002879176,0.002730922,0.1531174,0.000065781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.306309,0.008166013,0.01135851,0.007910844,0.0006100176,0.001022761,0.6014702,0.002017976,0.06113484],"genre_scores_gemma":[0.6688784,0.002449301,0.008747006,0.001239836,0.000418145,0.002889126,0.3061495,0.001214183,0.008014455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01593909,"threshold_uncertainty_score":0.05332154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211000255063533,"score_gpt":0.1836220220090785,"score_spread":0.1615120194584432,"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."}}