{"id":"W2161591785","doi":"","title":"University Quality and Labor Market Outcomes of Canadian Youth","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Reputation; Wage; Quality (philosophy); Matching (statistics); Index (typography); Econometrics; Economics; Estimator; Bachelor; Sample (material); Demographic economics; Actuarial science; Labour economics; Statistics; Political science; Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001914115,0.0002945609,0.0004136988,0.00333698,0.002343733,0.001860028,0.0008455354,0.0004031075,0.00424864],"category_scores_gemma":[0.006827013,0.0001839013,0.0005735524,0.006392672,0.0008021076,0.0004202508,0.0008729479,0.0006245792,0.0004729288],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0170101,"about_ca_system_score_gemma":0.01253822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863241,"about_ca_topic_score_gemma":0.9896258,"domain_scores_codex":[0.9987267,0.00009260648,0.00004487682,0.000131521,0.0004651054,0.0005391788],"domain_scores_gemma":[0.995259,0.0004140835,0.001216606,0.0001583867,0.001602781,0.001349248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108588,0.00004044333,0.9858028,0.00003165687,0.0000514052,0.00005483825,0.001413722,0.000383071,0.00009608492,0.001032142,0.002790362,0.008192661],"study_design_scores_gemma":[0.00000529136,0.000009856022,0.9972428,0.00001779113,0.00001190712,0.00001142681,0.000982376,0.0002838366,0.0000430649,0.00008483852,0.001295098,0.00001168612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863436,0.0007320608,0.0001369427,0.0005424234,0.0000161601,0.00002276641,0.00481493,0.00001236395,0.007378771],"genre_scores_gemma":[0.9960827,0.0002768463,0.00007063409,0.00005045181,0.000008825302,0.00000545964,0.002070288,0.000005406779,0.001429387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9829899,"threshold_uncertainty_score":0.1234174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09323221777751152,"score_gpt":0.4047323521768595,"score_spread":0.311500134399348,"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."}}