{"id":"W1512753711","doi":"","title":"The Determinants of University Participation","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Demographic economics; Economics; Balance (ability); Labour economics; Monetary economics; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005045986,0.0001011478,0.0002287422,0.0002210476,0.0008489768,0.00008552174,0.0007978778,0.0001888256,0.00003319316],"category_scores_gemma":[0.001758976,0.00009568552,0.0000848801,0.0002045336,0.001574565,0.00007001884,0.0006574871,0.0006239795,0.000006481849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069475,"about_ca_system_score_gemma":0.001673785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005352885,"about_ca_topic_score_gemma":0.05106509,"domain_scores_codex":[0.9969258,0.001371187,0.0003254323,0.0003386391,0.000418611,0.0006203422],"domain_scores_gemma":[0.9967731,0.002160636,0.0001743217,0.0004739158,0.0003101739,0.0001078121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001250321,0.0002866428,0.6133009,0.0001185812,0.00007544368,0.00001402856,0.01036397,0.001284926,0.000008535182,0.005021657,0.001407304,0.367993],"study_design_scores_gemma":[0.0002832932,0.00004434179,0.5465671,0.0001221422,0.000009117887,1.177145e-7,0.01187366,0.0009268011,0.00007240741,0.002667959,0.4371749,0.0002581245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8219173,0.00008621668,3.914325e-7,0.001201263,0.0002887648,0.0005382517,0.00002184427,0.00001425942,0.1759317],"genre_scores_gemma":[0.9740016,0.009851726,0.00008014344,0.000005255989,0.0001464477,0.00004206775,0.000005490745,0.00001095909,0.01585627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4357676,"threshold_uncertainty_score":0.9662505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05850541264041476,"score_gpt":0.4159148717154352,"score_spread":0.3574094590750205,"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."}}