{"id":"W3123568036","doi":"","title":"College Curriculum, Diverging Selectivity, and Enrollment Expansion","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stylized fact; Earnings; Curriculum; Competition (biology); Context (archaeology); Higher education; Economics; Mathematics education; Demographic economics; Psychology; Economic growth; Accounting; Macroeconomics","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":[0.0008343097,0.0001653584,0.0002873347,0.0008662699,0.0007255943,0.001200379,0.0004956094,0.000593188,0.007252357],"category_scores_gemma":[0.004601602,0.00008707167,0.0003875421,0.001133153,0.001096064,0.0006337986,0.001639791,0.0009248622,0.0003972088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336139,"about_ca_system_score_gemma":0.001160648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01563253,"about_ca_topic_score_gemma":0.02043633,"domain_scores_codex":[0.9995504,0.00008597675,0.00001166334,0.00004711304,0.00006582524,0.000239015],"domain_scores_gemma":[0.9940431,0.001752381,0.002485169,0.0001677579,0.00019333,0.001358326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004008282,0.0005081178,0.9333382,0.00003917285,0.00006022015,0.0004987097,0.0003884734,0.01260012,0.001265182,0.02177329,0.002002719,0.02712496],"study_design_scores_gemma":[0.0001369545,0.0005534528,0.9504647,0.0000461435,0.0001303134,0.0003235608,0.001612867,0.02301442,0.001031955,0.01873453,0.003922419,0.00002877281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940142,0.0001700213,0.0002787215,0.0004779957,0.000004315235,0.00000893361,0.0001048882,0.000006281636,0.004934714],"genre_scores_gemma":[0.9986236,0.0001296079,0.00005763253,0.00007813082,0.00002530923,0.000004368314,0.00007971581,0.000001494163,0.001000041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01563253,"threshold_uncertainty_score":0.03108311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359196841015086,"score_gpt":0.3661016487074422,"score_spread":0.3425096802972913,"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."}}