{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002317609,0.0002210383,0.0003155794,0.0002322628,0.000328894,0.0005138593,0.0006478502,0.00008509561,0.0002235885],"category_scores_gemma":[0.0005050963,0.0002037973,0.00006367822,0.000434682,0.00005511852,0.003658431,0.0002570393,0.0007649945,0.0004352218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898146,"about_ca_system_score_gemma":0.0003411492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005720162,"about_ca_topic_score_gemma":0.01658807,"domain_scores_codex":[0.9974528,0.00006998214,0.0004706439,0.0005099335,0.0004228015,0.001073868],"domain_scores_gemma":[0.99848,0.0002204791,0.0004809822,0.0005870596,0.0002125909,0.00001892914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009008601,0.00002521844,0.9958304,0.00002460167,0.0000382084,0.000003527023,0.00003908058,0.00003036961,0.0002372306,0.002198595,0.0006308452,0.0008518777],"study_design_scores_gemma":[0.0008110745,0.00002966689,0.9805383,0.0002674691,0.0001653432,0.00001380602,0.0003107565,0.00428626,0.000009097572,0.01156674,0.001634469,0.0003669835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908095,0.008011966,0.0003573754,0.0001875023,0.0002961632,0.0002022811,0.00002529921,0.0000495126,0.00006042191],"genre_scores_gemma":[0.9908673,0.007241054,0.0001107837,0.0001911942,0.0005912886,0.000003903024,0.0002982873,0.00003085775,0.0006653543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01529202,"threshold_uncertainty_score":0.9256532,"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."}}