{"id":"W4394828400","doi":"10.2139/ssrn.4765373","title":"Careers and Intergenerational Mobility","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Université du Québec à Montréal","funders":"","keywords":"Download; World Wide Web; Internet privacy; Computer 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":[0.0008730228,0.000123636,0.0002093718,0.001756976,0.00168648,0.00191665,0.0003856568,0.0006416228,0.016632],"category_scores_gemma":[0.004612597,0.0001183651,0.0002089871,0.002597753,0.001050318,0.001775518,0.002105807,0.0008039269,0.0008195704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005729538,"about_ca_system_score_gemma":0.0004813704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006673295,"about_ca_topic_score_gemma":0.01248077,"domain_scores_codex":[0.9995659,0.0001408368,0.00001773223,0.00004208599,0.0000390283,0.0001942819],"domain_scores_gemma":[0.9964197,0.001286256,0.0009061763,0.0001433342,0.0001942759,0.001050175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002578959,0.0004096756,0.8641522,0.00006158988,0.00009364157,0.0004526125,0.01250511,0.0008340748,0.0001897151,0.07957606,0.002119854,0.03934761],"study_design_scores_gemma":[0.00002346376,0.0001446613,0.9214391,0.0001804439,0.00005698115,0.0004008563,0.03411286,0.001112625,0.0001199326,0.02928883,0.01310142,0.00001890824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791735,0.001287967,0.0002553141,0.001926542,0.00002994752,0.000004584907,0.0003105018,0.000005238891,0.01700641],"genre_scores_gemma":[0.9974402,0.0003464111,0.00002872134,0.00002739507,0.00001285135,0.000002525846,0.00006069879,0.000001409961,0.002079806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016632,"threshold_uncertainty_score":0.05563956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509438340272461,"score_gpt":0.3389441444267486,"score_spread":0.313849761024024,"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."}}