{"id":"W4312651175","doi":"10.3982/qe1849","title":"Earnings dynamics and its intergenerational transmission: Evidence from Norway","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Horizon 2020 Framework Programme; Norges Forskningsråd; European Commission","keywords":"Earnings; Economics; Demographic economics; Inequality; Distribution (mathematics); Downside risk; Income distribution; Labour economics; Economic inequality; Financial economics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005168089,0.0000839325,0.0001184332,0.0000497707,0.001379765,0.00005663857,0.0001420138,0.00002404683,0.002704792],"category_scores_gemma":[0.0002159845,0.00009428324,0.00004463591,0.00007814631,0.00009774002,0.000323094,0.00007125071,0.0001231371,0.00004961852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805309,"about_ca_system_score_gemma":0.000234411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008829617,"about_ca_topic_score_gemma":0.002336336,"domain_scores_codex":[0.9990421,0.000235193,0.0002199272,0.0002355851,0.0001312374,0.0001359798],"domain_scores_gemma":[0.999069,0.0006006712,0.0000964722,0.00004480201,0.0001217964,0.00006728479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004380541,0.00003896258,0.003589177,0.00000323505,0.00005056693,4.588053e-7,0.03615748,0.002334604,0.0001685789,0.9540465,0.003048742,0.0005178796],"study_design_scores_gemma":[0.0007230634,0.000639703,0.05175998,0.00008121773,0.00008444248,0.000004516854,0.1586491,0.3016703,0.0007177502,0.08964805,0.3946396,0.001382276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725325,0.001309925,0.001861946,0.02076398,0.0007792675,0.0001152779,0.0001773069,0.000015404,0.002444386],"genre_scores_gemma":[0.9884175,0.0006495267,0.002819612,0.0005596586,0.0002686346,0.00007170058,0.00008840621,0.000008069858,0.007116907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8643985,"threshold_uncertainty_score":0.9999203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050231029450243,"score_gpt":0.3607136401369185,"score_spread":0.2556905371918943,"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."}}