{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002406183,0.0002031312,0.0002955855,0.001183162,0.0005206848,0.0008245941,0.0006118649,0.0002559261,0.001708841],"category_scores_gemma":[0.00637841,0.0002399915,0.0003814406,0.00268963,0.0006040492,0.0005552557,0.0009875721,0.0003368613,0.0002893379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397887,"about_ca_system_score_gemma":0.001222951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3226875,"about_ca_topic_score_gemma":0.2879333,"domain_scores_codex":[0.9988385,0.000420358,0.0001347994,0.0002240807,0.0001798544,0.0002025486],"domain_scores_gemma":[0.9931971,0.002696394,0.002649406,0.0005909143,0.0005731619,0.000293004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001110559,0.00004351621,0.9868508,0.00003911911,0.00008787482,0.0002352877,0.001718301,0.0007150096,0.00007612754,0.0008377078,0.001005669,0.008279505],"study_design_scores_gemma":[0.000006936837,0.00002508175,0.9954703,0.00006944321,0.00002121347,0.00007141597,0.001289236,0.000664896,0.00005397674,0.0002746005,0.002041278,0.0000117592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920731,0.0008756161,0.000406422,0.0001472517,0.00001617002,0.000009267508,0.004417322,0.000005330557,0.002049557],"genre_scores_gemma":[0.9955865,0.0006768653,0.0002348652,0.00002484069,0.000008982025,0.0000104068,0.002980978,0.000004489777,0.0004720271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3226875,"threshold_uncertainty_score":0.6416185,"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."}}