{"id":"W4384562942","doi":"10.1016/j.socec.2023.102067","title":"Behavioral consequences of income and expense shocks","year":2023,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; University of Washington","keywords":"Shock (circulatory); Toll; Economics; Psychological resilience; Intervention (counseling); Coping (psychology); Dynamic inconsistency; Monetary economics; Demographic economics; Finance; Psychology; Microeconomics; Social psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002442299,0.0001588858,0.0003949996,0.0003605198,0.000107582,0.0001320087,0.0001304195,0.00006177707,0.0001356864],"category_scores_gemma":[0.000004974356,0.0001442266,0.0001203438,0.000166137,0.0002208557,0.00108528,0.0001670773,0.00009398105,0.0000126089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003569122,"about_ca_system_score_gemma":0.00002205159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005851777,"about_ca_topic_score_gemma":0.00004477923,"domain_scores_codex":[0.9989262,0.000007897324,0.0006182396,0.0001586318,0.0001165347,0.000172494],"domain_scores_gemma":[0.9992049,0.00001478362,0.0005652091,0.00009512663,0.0000870623,0.00003285726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001911091,0.0002203722,0.95981,0.00003038198,0.00001300507,0.00005632576,0.0005786641,0.0000238881,0.03651714,0.001096673,0.0002456022,0.001216881],"study_design_scores_gemma":[0.008559556,0.001913704,0.8051834,0.0005889807,0.00123825,0.000341558,0.03138816,0.002692781,0.1323386,0.005059149,0.008476648,0.002219258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991753,0.0003407974,3.73261e-7,0.00006292244,0.0002503114,0.00007895092,0.000005118315,0.00001379256,0.00007244243],"genre_scores_gemma":[0.9993727,0.0001026819,0.0001548805,0.00008413872,0.0002050899,0.000003057364,0.0000100894,0.00001508859,0.00005233999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546266,"threshold_uncertainty_score":0.5881392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03389641621866812,"score_gpt":0.2866072290732453,"score_spread":0.2527108128545772,"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."}}