{"id":"W2109268950","doi":"10.1111/0008-4085.00077","title":"Education, earnings, and the ‘Canadian G.I. Bill’","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Political science; Servant; Humanities; Art; Economics; Finance; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0007329042,0.0002268642,0.0001748163,0.001459584,0.002049312,0.001514009,0.0006928279,0.0003720834,0.0093108],"category_scores_gemma":[0.003420324,0.0001301043,0.0003054168,0.002430275,0.0008186568,0.0003356084,0.0006987419,0.0005748656,0.0004863034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02374251,"about_ca_system_score_gemma":0.02081876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995355,"about_ca_topic_score_gemma":0.9977416,"domain_scores_codex":[0.9995174,0.00003281542,0.00001095207,0.00005061676,0.0001385254,0.0002496491],"domain_scores_gemma":[0.9976624,0.0002322303,0.0006633589,0.00009005145,0.0007303871,0.0006215345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001045204,0.0000375034,0.9623908,0.00002392518,0.00004512932,0.0001041833,0.001620911,0.0006278898,0.0001226857,0.003424229,0.01351581,0.01798233],"study_design_scores_gemma":[0.000004132485,0.00000734374,0.9925196,0.00002359957,0.00001071265,0.00001263234,0.0009947349,0.0002500682,0.00004524574,0.00007254201,0.00605179,0.000007630094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96341,0.001227819,0.0001240734,0.00385918,0.00003161004,0.00002283011,0.007329099,0.00001950209,0.02397601],"genre_scores_gemma":[0.981937,0.0005712964,0.00009979357,0.0001333735,0.00001297665,0.000007600402,0.002902883,0.00000817586,0.01432679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02374251,"threshold_uncertainty_score":0.1722648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0850796677542663,"score_gpt":0.1797406850445064,"score_spread":0.09466101729024008,"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."}}