{"id":"W2985599749","doi":"10.3138/cpp.36.1.63","title":"The Evolution of the Returns to Human Capital in Canada, 1980–2005","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Montréal","funders":"","keywords":"Human capital; Census; Wage; Demographic economics; Economics; Labour economics; Capital (architecture); Geography; Demography; Economic growth; Sociology; Population","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":[0.0008630637,0.0004426896,0.0005024868,0.003524663,0.002190051,0.002815863,0.001083245,0.0007718399,0.002867965],"category_scores_gemma":[0.00354572,0.0002375342,0.0005824221,0.00664976,0.0009546348,0.0007409651,0.0009908009,0.001053255,0.0003849968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08792656,"about_ca_system_score_gemma":0.05623196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977581,"about_ca_topic_score_gemma":0.9983479,"domain_scores_codex":[0.9989542,0.00003174577,0.00003672872,0.0001152542,0.0003213691,0.0005407375],"domain_scores_gemma":[0.9956995,0.0001927441,0.0007058792,0.00008742605,0.002368381,0.0009461232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005358927,0.000119581,0.8882694,0.0002587745,0.0003157753,0.0005324708,0.003091178,0.00725886,0.0006737509,0.009064109,0.02790182,0.06197843],"study_design_scores_gemma":[0.000006991896,0.00001377558,0.9852688,0.00004726901,0.00002715063,0.00004493006,0.0008919221,0.001142888,0.0001517025,0.0001218499,0.01225915,0.00002356405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522758,0.006143779,0.0003597359,0.004028334,0.00007671815,0.00002672773,0.02257085,0.00009741593,0.01442059],"genre_scores_gemma":[0.9847897,0.001407494,0.0002432079,0.0002231978,0.00002105655,0.000007537386,0.00571771,0.00001355882,0.007576632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08792656,"threshold_uncertainty_score":0.6379548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149483146546246,"score_gpt":0.2039322957384073,"score_spread":0.1924374642729448,"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."}}