{"id":"W3120635038","doi":"10.1002/cfp2.1101","title":"How Americans used their <scp>COVID</scp>‐19 economic impact payments","year":2020,"lang":"en","type":"article","venue":"Financial Planning Review","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Payment; Traditional medicine; Business; Virology; Medicine; Internal medicine; Finance; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004753481,0.0005362257,0.001096188,0.0001806425,0.0003223637,0.0004768907,0.0006369044,0.0001032459,0.0002694946],"category_scores_gemma":[0.002108776,0.0004488354,0.0005700316,0.001030014,0.00007016582,0.001252542,0.0002698002,0.0002934472,0.001097319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197446,"about_ca_system_score_gemma":0.0002343377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004802452,"about_ca_topic_score_gemma":0.00002832601,"domain_scores_codex":[0.9976041,0.00004270031,0.0006401,0.0007212815,0.0003398445,0.0006520057],"domain_scores_gemma":[0.998367,0.0001373005,0.0008443362,0.0004390418,0.00010608,0.0001062783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000165037,0.00003526883,0.7041218,0.002250407,0.0000422796,0.00006807251,0.0002414319,0.0002101547,0.0001115929,0.0004108731,0.2882969,0.004194633],"study_design_scores_gemma":[0.0004001936,0.0000459824,0.09268974,0.001370398,0.0002673146,0.000002150044,0.00004057181,0.001500904,0.000008138499,0.0001879913,0.9031846,0.0003020225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951251,0.03909441,0.0005632815,0.002931808,0.0007396495,0.001728095,0.0001466023,0.0005981366,0.00294706],"genre_scores_gemma":[0.9515086,0.002347883,0.0002511038,0.04063201,0.003796912,0.00009451945,0.0007426983,0.0001218958,0.0005043567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6148877,"threshold_uncertainty_score":0.9997963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0527280213785337,"score_gpt":0.2836322711161049,"score_spread":0.2309042497375712,"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."}}