{"id":"W3049723838","doi":"10.2139/ssrn.3674312","title":"The Changing Composition of Academic Majors and Wage Dynamics","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Composition (language); Wage; Dynamics (music); Labour economics; Economics; Demographic economics; Psychology; Pedagogy; Art","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":[0.001456987,0.0001102682,0.0003539609,0.003624245,0.001249826,0.003263239,0.0007355921,0.0006789865,0.01700362],"category_scores_gemma":[0.007867239,0.0001642449,0.0002025519,0.004609526,0.0007940332,0.001819497,0.002185593,0.000962633,0.002655544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009422554,"about_ca_system_score_gemma":0.0009762686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007265397,"about_ca_topic_score_gemma":0.01157772,"domain_scores_codex":[0.9987494,0.0002574468,0.00007496498,0.0001710652,0.0002290153,0.000517972],"domain_scores_gemma":[0.9925181,0.001315068,0.001612986,0.0001941098,0.0009037448,0.003456026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000480817,0.0003534282,0.9354468,0.00006597248,0.00006408447,0.0001412811,0.006059732,0.0002729293,0.001520018,0.017097,0.005756242,0.03274167],"study_design_scores_gemma":[0.00002467271,0.00006907323,0.9814134,0.00003174802,0.000009668941,0.00007044068,0.009725679,0.0006431881,0.0002010277,0.003561494,0.004237229,0.00001235587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887829,0.0005984082,0.0002333632,0.002916955,0.00004747409,0.000009017994,0.000469089,0.00001321568,0.006929559],"genre_scores_gemma":[0.9977205,0.0001574744,0.00004425643,0.0001341452,0.0000647515,0.000003904036,0.0001620195,0.000008420942,0.001704616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01700362,"threshold_uncertainty_score":0.0568828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242982233397571,"score_gpt":0.2178473868776319,"score_spread":0.2054175645436562,"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."}}