{"id":"W3174585847","doi":"","title":"The Changing Composition of Academic Majors and Wage Dynamics","year":2020,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Wage; Distribution (mathematics); Economics; Variance (accounting); Demographic economics; Inequality; Labour economics; Higher education; Economic growth","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":[0.0008335078,0.0001007092,0.0002171155,0.001223941,0.0003565106,0.0007526851,0.0003448788,0.0002665587,0.003474473],"category_scores_gemma":[0.003957136,0.000110902,0.000248003,0.001192884,0.0003606222,0.0004530481,0.0006515168,0.0004674561,0.0005284559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004445636,"about_ca_system_score_gemma":0.0002044299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004677054,"about_ca_topic_score_gemma":0.005581669,"domain_scores_codex":[0.9995126,0.00009381046,0.00002991371,0.000162168,0.00007700832,0.0001245814],"domain_scores_gemma":[0.9981578,0.0004924202,0.000670223,0.0001588564,0.0002266679,0.000293991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000149514,0.0001162926,0.9558116,0.00004047392,0.00004595841,0.0001333351,0.001615603,0.001473418,0.002284523,0.007888251,0.001017899,0.02942315],"study_design_scores_gemma":[0.000003818557,0.00003490892,0.9948611,0.000005879323,0.000005786766,0.00005815903,0.0006130122,0.001447765,0.0001992491,0.001754927,0.001009893,0.000005498019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963218,0.0001259392,0.0007702766,0.0001524678,0.000007378787,0.000006216863,0.0003949644,0.000008335664,0.002212609],"genre_scores_gemma":[0.9982519,0.00007369721,0.0002147758,0.00001739205,0.00001120787,0.000004281277,0.0003115103,0.000003996122,0.001111273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004677054,"threshold_uncertainty_score":0.01162326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240915358758576,"score_gpt":0.2802800234480805,"score_spread":0.2478708698604947,"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."}}