{"id":"W2885995477","doi":"10.3386/w13912","title":"The Nature of Credit Constraints and Human Capital","year":2008,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Economics; Business; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002357828,0.0000885074,0.0002692128,0.0002886975,0.0003264195,0.00002279368,0.0003437932,0.0001618026,0.0004702445],"category_scores_gemma":[0.0003644804,0.00008733953,0.0000809793,0.00007873622,0.001477781,0.0001602379,0.00009390586,0.0003743309,0.0001402038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254365,"about_ca_system_score_gemma":0.0001266255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003299948,"about_ca_topic_score_gemma":0.00006650742,"domain_scores_codex":[0.9988066,0.00004403608,0.0006090541,0.000250533,0.00004633567,0.0002434351],"domain_scores_gemma":[0.998531,0.0008008328,0.000264789,0.0002126467,0.0001217141,0.00006895874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002027359,0.00002540544,0.01237957,0.0000115693,0.00005309482,5.808876e-7,0.0002408904,0.00001723612,0.00006169601,0.984734,0.002354627,0.0001010551],"study_design_scores_gemma":[0.0004176041,0.00006882776,0.01420054,0.000006134004,8.316558e-7,0.00001782457,0.0001041597,0.00005373529,0.000401826,0.9800425,0.004600754,0.00008525538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7405603,0.0009283602,0.000001634771,0.0006193134,0.000130603,0.0001291269,0.0001550302,0.000004150919,0.2574715],"genre_scores_gemma":[0.9974617,0.0003259164,0.00004623957,0.000031728,0.000235211,0.00001270769,0.00001872187,0.00001116524,0.001856588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2569014,"threshold_uncertainty_score":0.5444946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1812596871387702,"score_gpt":0.4205908357173131,"score_spread":0.239331148578543,"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."}}