{"id":"W4382807722","doi":"10.2139/ssrn.4497052","title":"Careers and Intergenerational Income Mobility","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Université du Québec à Montréal","funders":"","keywords":"Social mobility; Demographic economics; Labour economics; Economics; Economic mobility; Poverty; Sociology; Economic growth; Social science","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":[0.0008371107,0.0001254673,0.0002022067,0.001593849,0.001303737,0.001615111,0.0003816174,0.0005978913,0.01457075],"category_scores_gemma":[0.004168029,0.0001171392,0.0002414001,0.002396641,0.0008229959,0.001673306,0.001825499,0.000800365,0.000852585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020241,"about_ca_system_score_gemma":0.0003444955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006793709,"about_ca_topic_score_gemma":0.01220355,"domain_scores_codex":[0.9996353,0.0001191685,0.00001576009,0.00003499982,0.00003353836,0.0001613159],"domain_scores_gemma":[0.9969311,0.001141608,0.0008236745,0.000128409,0.0001705409,0.0008046133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002709513,0.0003706435,0.9202213,0.00004364671,0.00008599363,0.0003379679,0.006525734,0.0007798599,0.000157094,0.04028096,0.001522211,0.0294037],"study_design_scores_gemma":[0.00001583176,0.0001180974,0.9597052,0.0001063235,0.00004959577,0.0002543209,0.01784881,0.001208744,0.00009854102,0.01452175,0.006058903,0.00001391674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883395,0.0008902743,0.0001932533,0.001160365,0.00001951657,0.000003479475,0.0002826663,0.000004580292,0.009106372],"genre_scores_gemma":[0.9979492,0.0002698157,0.00002898541,0.0000208234,0.00001060526,0.00000215025,0.00007243414,0.000001282663,0.001644682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01457075,"threshold_uncertainty_score":0.04874396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076830683874494,"score_gpt":0.3399741988980992,"score_spread":0.3092058920593543,"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."}}