{"id":"W4246684274","doi":"10.31234/osf.io/tkuaf","title":"Financial well-being, COVID-19, and the financial better-than-average-effect","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Financial literacy; Pessimism; Finance; Ignorance; Coronavirus disease 2019 (COVID-19); Business; Financial crisis; Economics; Political science; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002502738,0.0002462594,0.0003975978,0.0009272299,0.0008535169,0.0009662975,0.0003630324,0.0005576918,0.006256295],"category_scores_gemma":[0.0110718,0.0001457614,0.0004683649,0.0007494636,0.001010027,0.0009159496,0.002104864,0.001381357,0.0002561927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005996838,"about_ca_system_score_gemma":0.0003830814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01521924,"about_ca_topic_score_gemma":0.01826572,"domain_scores_codex":[0.9988211,0.0003867619,0.00007812741,0.0001632096,0.0001344175,0.000416412],"domain_scores_gemma":[0.9846323,0.003733233,0.005775264,0.0008422562,0.0007059255,0.004311005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002383495,0.0001385089,0.992653,0.00002448672,0.00006899255,0.0000629056,0.0003374744,0.0001037472,0.00006679499,0.0004599682,0.0007194145,0.005126219],"study_design_scores_gemma":[0.00000414723,0.00005816174,0.9987347,0.00001620685,0.00001514161,0.00003112384,0.0004550964,0.00006339969,0.00003708613,0.0001404641,0.0004399804,0.000004592974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945199,0.0005108234,0.00009281823,0.000914276,0.0000428645,0.00001210419,0.0006080151,0.000004855653,0.003294365],"genre_scores_gemma":[0.9991063,0.00009784623,0.00004514638,0.0001018804,0.00001778929,0.000008904706,0.0002870066,0.000002076424,0.0003330154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01521924,"threshold_uncertainty_score":0.03026134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204948582586756,"score_gpt":0.2388003484651531,"score_spread":0.2267508626392855,"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."}}