{"id":"W3153886112","doi":"","title":"What Is behind the Global Jump in Personal Saving during the Pandemic","year":2021,"lang":"en","type":"article","venue":"Liberty Street Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boom; Government (linguistics); Economics; Pandemic; Social security; Labour economics; Coronavirus disease 2019 (COVID-19); Development economics; Business; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058716,0.0002678973,0.0004364324,0.00007694012,0.0002511253,0.0005027669,0.0005792479,0.000186477,0.000543645],"category_scores_gemma":[0.000166539,0.0002317494,0.0002284575,0.0002343802,0.0001179009,0.0008574767,0.0003314147,0.0004220887,0.0002579083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009784786,"about_ca_system_score_gemma":0.0001717902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008354658,"about_ca_topic_score_gemma":0.008656106,"domain_scores_codex":[0.9979045,0.00004154505,0.0007586689,0.0006515694,0.0000384309,0.0006052698],"domain_scores_gemma":[0.9985394,0.0002932835,0.0003401623,0.0006949432,0.00002024372,0.0001119551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001965858,0.00004099149,0.9864538,0.00002467295,0.00008586871,0.00001055653,0.003703353,0.000479599,0.000005187188,0.00680525,0.0004698867,0.001901221],"study_design_scores_gemma":[0.001656426,0.00002479888,0.8619026,0.00007641741,0.00002016531,0.00007246625,0.003422368,0.01129594,0.0001079119,0.03038612,0.09035392,0.0006808754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814497,0.004329034,0.00003307926,0.008910624,0.001097749,0.0002126356,0.0002493678,0.00003461985,0.003683182],"genre_scores_gemma":[0.9871115,0.004078961,0.00003552824,0.006366079,0.000292476,0.00002190361,0.00001627262,0.00003281798,0.002044437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1245512,"threshold_uncertainty_score":0.9450465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426670410494247,"score_gpt":0.2449449806286192,"score_spread":0.2106782765236767,"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."}}