{"id":"W3181553951","doi":"10.2139/ssrn.3789289","title":"Earnings Dynamics and Its Intergenerational Transmission: Evidence from Norway","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economics; Dynamics (music); Transmission (telecommunications); Demographic economics; Labour economics; Business; Econometrics; Accounting; Psychology; Computer science; Telecommunications","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":[0.001571306,0.000194155,0.000363033,0.0007490373,0.0006161958,0.001269737,0.0005681964,0.0003657672,0.003428884],"category_scores_gemma":[0.003752045,0.0002042795,0.0003140856,0.001760277,0.0007066783,0.0008216872,0.001122861,0.0003654008,0.0003691314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522857,"about_ca_system_score_gemma":0.001288293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2681299,"about_ca_topic_score_gemma":0.2630013,"domain_scores_codex":[0.9994572,0.0001451043,0.00005436882,0.0001350934,0.00007217778,0.0001360967],"domain_scores_gemma":[0.9971228,0.001535813,0.0007011042,0.0002018907,0.000265732,0.0001725804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007684637,0.0001839054,0.9552216,0.00009483411,0.0002017546,0.001244195,0.005871662,0.002943143,0.0004260072,0.004340642,0.00146481,0.02723901],"study_design_scores_gemma":[0.00002438085,0.00006520841,0.990063,0.00009636553,0.00007263397,0.000129675,0.004029243,0.0007969977,0.000144962,0.001010882,0.003543968,0.00002277003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938653,0.000904943,0.0001731749,0.0001579794,0.00001430324,0.000004131496,0.001459668,0.000003430514,0.003417032],"genre_scores_gemma":[0.9973476,0.0005957377,0.00009125496,0.00001438323,0.000005217943,0.000003757469,0.0008847852,0.000004438139,0.001052779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2681299,"threshold_uncertainty_score":0.5331385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277002207710145,"score_gpt":0.3257983448176089,"score_spread":0.2930283227405074,"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."}}