{"id":"W2936090825","doi":"10.2139/ssrn.3365473","title":"Job Loss Expectations, Durable Consumption and Household Finances: Evidence from Linked Survey Data","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Job loss; Unemployment; Consumption (sociology); Survey data collection; Durable good; Labour economics; Order (exchange); Job security; Economics; Business; Demographic economics; Work (physics); Microeconomics; Engineering; Economic growth; Finance","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":[0.003742522,0.0003806184,0.0004777789,0.002881088,0.0005666847,0.001873061,0.001016126,0.0012601,0.005623352],"category_scores_gemma":[0.01667604,0.0004637878,0.0008695774,0.006041841,0.000611356,0.001329064,0.001807133,0.00110099,0.001643723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003454096,"about_ca_system_score_gemma":0.0004634709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169239,"about_ca_topic_score_gemma":0.02696655,"domain_scores_codex":[0.9980962,0.0008842872,0.0002348629,0.0002546963,0.0003075296,0.0002223569],"domain_scores_gemma":[0.9653939,0.01499904,0.01437403,0.002063093,0.001575167,0.001594794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000161058,0.0001147718,0.9960706,0.00004719223,0.0002967985,0.00005547092,0.0002322938,0.000146525,0.00002528906,0.0001161111,0.0007341219,0.001999696],"study_design_scores_gemma":[0.00002003714,0.00008145381,0.9972367,0.00005615027,0.000134891,0.00006752332,0.0008100814,0.0003098981,0.00004254169,0.0001391328,0.001092477,0.000009108575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986366,0.001426392,0.0002675746,0.0003761974,0.00002735979,0.00001683378,0.009617221,0.00001105864,0.001891313],"genre_scores_gemma":[0.9810808,0.001186103,0.0001507567,0.0001525917,0.00005248177,0.00003322808,0.01601793,0.000008340235,0.001317721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02169239,"threshold_uncertainty_score":0.04313225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05451454005478255,"score_gpt":0.2644930093998105,"score_spread":0.209978469345028,"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."}}