{"id":"W4309548612","doi":"10.3390/jrfm15110542","title":"Mindsponge-Based Reasoning of Households’ Financial Resilience during the COVID-19 Crisis","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial literacy; Financial crisis; Recession; Investment (military); Finance; Business; Financial market; Misinformation; Resilience (materials science); Psychological resilience; Economics; Political science; Psychology; Macroeconomics; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002236761,0.000256501,0.0004858108,0.0006897703,0.001287764,0.0001383782,0.0006598402,0.00005227267,0.0001998311],"category_scores_gemma":[0.0008525092,0.0002090316,0.0003198372,0.001456858,0.0001230468,0.0005033878,0.0005801847,0.0004271526,0.000004446693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505837,"about_ca_system_score_gemma":0.0001195973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006639002,"about_ca_topic_score_gemma":0.00015673,"domain_scores_codex":[0.9973017,0.00009596285,0.0009192959,0.0003305807,0.0009864311,0.0003660352],"domain_scores_gemma":[0.9976875,0.0001086272,0.001587474,0.0003601425,0.0002098023,0.0000464563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002165389,0.000454631,0.9185668,0.0006924249,0.00003663573,0.0005823465,0.000809997,0.01822687,0.0001015222,0.01774849,0.03215128,0.008463644],"study_design_scores_gemma":[0.002177083,0.0001116031,0.614422,0.00007247196,0.0005506871,0.00001814996,0.0007379219,0.0006404795,0.00004021744,0.002568377,0.3782948,0.0003661932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995677,0.0006853281,0.001890699,0.0006496654,0.0005173744,0.0002979594,0.0000208638,0.00002427105,0.0002368729],"genre_scores_gemma":[0.9956799,0.0002196292,0.0005687994,0.002727123,0.0006298823,0.00002205164,0.0000051979,0.00002470987,0.0001227348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3461435,"threshold_uncertainty_score":0.990457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008820645220765345,"score_gpt":0.2129683196585625,"score_spread":0.2041476744377972,"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."}}