{"id":"W4214915295","doi":"10.3390/jrfm15030114","title":"COVID-19 and the Mortgage Market in Luxembourg","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Household debt; Coronavirus disease 2019 (COVID-19); Debt; Government (linguistics); Population; Financial crisis; Economics; Household income; Business; Demographic economics; Financial system; Monetary economics; Finance; Geography; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000493212,0.00020021,0.0003184847,0.001064781,0.0003544538,0.002020441,0.0002697465,0.0005012417,0.0067821],"category_scores_gemma":[0.0013643,0.0001245552,0.0002208722,0.001231834,0.0005981449,0.001081505,0.0008472509,0.000635883,0.0005955924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198788,"about_ca_system_score_gemma":0.0005674831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0522381,"about_ca_topic_score_gemma":0.06499623,"domain_scores_codex":[0.9997537,0.00007320256,0.00001046336,0.0000306824,0.00003011685,0.000101841],"domain_scores_gemma":[0.9991604,0.0001725383,0.0004062979,0.00002348179,0.00007125981,0.0001661058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004340412,0.0003975972,0.9490921,0.00008724129,0.0001042133,0.002434641,0.002537564,0.003230044,0.0007807594,0.01204327,0.008398439,0.02046013],"study_design_scores_gemma":[0.00004135848,0.0001025606,0.9871224,0.00003533997,0.00001207432,0.0001540238,0.003670756,0.003293427,0.00009936088,0.001380323,0.004076812,0.00001168427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947989,0.0005466324,0.00008928261,0.001305181,0.00001451462,0.000007486621,0.0005149362,0.000006319006,0.002716705],"genre_scores_gemma":[0.9978542,0.0002125876,0.00004437826,0.00006419697,0.00001991155,0.000005808794,0.0005321317,0.000003461993,0.001263228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0522381,"threshold_uncertainty_score":0.1038681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232204690039831,"score_gpt":0.2003209309165665,"score_spread":0.1879988840161682,"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."}}