{"id":"W4402218122","doi":"10.1016/j.jedc.2024.104958","title":"Living arrangements and labor market volatility of young workers","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Alliance de recherche numérique du Canada; Institució Catalana de Recerca i Estudis Avançats","keywords":"Economics; Volatility (finance); Labour economics; Financial economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004842422,0.00009066569,0.0001705602,0.0003620271,0.0002503581,0.0007177414,0.0001764505,0.0003141919,0.002379201],"category_scores_gemma":[0.003384716,0.00011467,0.0001560201,0.0003963885,0.0003080727,0.0003516586,0.0003457135,0.0004389615,0.0002719834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003414963,"about_ca_system_score_gemma":0.0001675299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004514419,"about_ca_topic_score_gemma":0.00628767,"domain_scores_codex":[0.9998493,0.00003074465,0.00001058103,0.00003134096,0.00002799917,0.00004996121],"domain_scores_gemma":[0.9983777,0.0005553933,0.000595323,0.00008968767,0.00006498834,0.0003169586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001287171,0.00006622449,0.9842366,0.000006973583,0.00004644847,0.0001949606,0.0005706766,0.003724474,0.0005449461,0.003474473,0.0003154116,0.006690175],"study_design_scores_gemma":[0.00000668436,0.00005022889,0.9822035,0.000008788805,0.00001139727,0.000125348,0.0005825519,0.01083537,0.0001434495,0.005562656,0.0004591912,0.00001082423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989344,0.00008945904,0.0002154262,0.00009214504,0.000002533173,0.000001771558,0.0000946901,0.000002029587,0.0005675823],"genre_scores_gemma":[0.9996384,0.00003704115,0.00002376147,0.00000637235,0.000004779242,0.000001412524,0.00006706608,8.204407e-7,0.0002203496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004514419,"threshold_uncertainty_score":0.008976281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00813710720826489,"score_gpt":0.2136288039090837,"score_spread":0.2054916967008188,"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."}}