{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091942,0.0001472869,0.0005205505,0.001057185,0.003101964,0.004838946,0.0006466536,0.001746789,0.02430431],"category_scores_gemma":[0.0107826,0.0002321758,0.0003378066,0.001040286,0.00159363,0.003538471,0.002761064,0.002089463,0.003714147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002461392,"about_ca_system_score_gemma":0.006026277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05459927,"about_ca_topic_score_gemma":0.06880271,"domain_scores_codex":[0.9969728,0.0007917306,0.00009989902,0.0002043116,0.0006152426,0.001315873],"domain_scores_gemma":[0.9919569,0.001253018,0.001348192,0.0002845371,0.001158858,0.003998442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001710935,0.0008798604,0.5799885,0.0002682403,0.0001015241,0.001345173,0.02371326,0.0002755101,0.0008125785,0.04300968,0.1134946,0.23594],"study_design_scores_gemma":[0.00009433565,0.0003605129,0.4712712,0.001790592,0.0001488051,0.001840078,0.1075829,0.0008514494,0.001282813,0.02237207,0.3922828,0.0001223209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7788796,0.004647976,0.0004674097,0.08774564,0.0005193599,0.00009510949,0.0008412717,0.00006920664,0.1267342],"genre_scores_gemma":[0.953666,0.003016144,0.0002019848,0.009644892,0.0004489678,0.00003845156,0.0002661117,0.00004282567,0.03267463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05459927,"threshold_uncertainty_score":0.1085629,"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."}}