{"id":"W1923766499","doi":"","title":"Who Gets Student Loans","year":2006,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Loan; Student loan; Demographic economics; Postsecondary education; Actuarial science; Economics; Mathematics education; Psychology; Medical education; Business; Higher education; Finance; Economic growth; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001127349,0.0004950989,0.000899233,0.0004977717,0.001371573,0.0001039854,0.002633342,0.0005107059,0.000722985],"category_scores_gemma":[0.0001361219,0.0006348203,0.0007220345,0.0002558897,0.00163176,0.000189054,0.001848639,0.001192985,0.00009634099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006455033,"about_ca_system_score_gemma":0.001919175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1713216,"about_ca_topic_score_gemma":0.09613181,"domain_scores_codex":[0.9952234,0.001289123,0.000528159,0.0008987102,0.001267136,0.0007934672],"domain_scores_gemma":[0.9966516,0.000417134,0.0007517738,0.00125181,0.0004444021,0.0004832162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000174426,0.001117608,0.04912516,0.0006088983,0.0007507196,0.0001889066,0.8411837,0.0004068424,0.00006982769,0.02596939,0.07202685,0.008377649],"study_design_scores_gemma":[0.0007528781,0.00008876895,0.07675638,0.0007312289,0.0001915482,0.000004190571,0.1530584,0.0002636453,0.000006376057,0.002403768,0.7648911,0.0008516516],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5172297,0.001316788,0.0002371114,0.004488654,0.0008706513,0.001084191,0.0009698657,0.0001860933,0.473617],"genre_scores_gemma":[0.8749222,0.005095605,0.003748942,0.0002960203,0.001192294,0.000006007702,0.0004918364,0.000094822,0.1141523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6928643,"threshold_uncertainty_score":0.9999285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318740372834441,"score_gpt":0.3021056256142076,"score_spread":0.2702315883307636,"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."}}