{"id":"W3174392126","doi":"","title":"The Canadian University Selectivity Premium","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Wage; Matching (statistics); Estimator; Instrumental variable; Economics; Econometrics; Quality (philosophy); Higher education; Demographic economics; Labour economics; Statistics; Mathematics; Economic growth","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":[0.002834525,0.0002382006,0.0004007732,0.002014492,0.002895053,0.002124246,0.001008245,0.0006628879,0.01653968],"category_scores_gemma":[0.01659032,0.0001450201,0.0004914166,0.002834599,0.001332466,0.0006019862,0.001317785,0.001046397,0.000735076],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01750014,"about_ca_system_score_gemma":0.02355135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9365633,"about_ca_topic_score_gemma":0.9501764,"domain_scores_codex":[0.9963458,0.0002569194,0.00006565414,0.0003159252,0.002097098,0.000918547],"domain_scores_gemma":[0.9910061,0.001861838,0.001581141,0.0006392422,0.003332843,0.00157877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000243418,0.00007915652,0.4982722,0.0002716293,0.0001792618,0.0003570674,0.00265854,0.002724485,0.0009813774,0.1425297,0.1348044,0.2168987],"study_design_scores_gemma":[0.00005000554,0.00006196184,0.8234565,0.0002204995,0.0001270647,0.0003345533,0.002784059,0.003503793,0.001191908,0.0110706,0.1571005,0.00009869872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6561467,0.006788045,0.01001098,0.03346319,0.0005273951,0.0002372025,0.01529811,0.0004811501,0.2770472],"genre_scores_gemma":[0.979762,0.001377673,0.001086779,0.002044075,0.00007889811,0.00002397376,0.001764704,0.00003170929,0.01383027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9824998,"threshold_uncertainty_score":0.1276206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137005351606536,"score_gpt":0.3165944352579463,"score_spread":0.305224381741881,"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."}}