{"id":"W4410306563","doi":"10.1007/978-3-031-85459-0_4","title":"Credit Rationing and Asset Substitution","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Substitution (logic); Credit rationing; Asset (computer security); Rationing; Business; Economics; Monetary economics; Computer science; Interest rate; Computer security; Programming language; Economic growth","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":[0.0004682252,0.0004073545,0.0004616037,0.0005548844,0.0005225086,0.002466224,0.0004914796,0.001321153,0.01556449],"category_scores_gemma":[0.001885582,0.0002489922,0.0002300049,0.001226597,0.002085685,0.00249496,0.000541764,0.001721921,0.002121269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419289,"about_ca_system_score_gemma":0.0008357685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002720532,"about_ca_topic_score_gemma":0.002989308,"domain_scores_codex":[0.9997736,0.00008272468,0.000008034672,0.00004185935,0.00006654378,0.00002740806],"domain_scores_gemma":[0.9996352,0.0002263052,0.00002897226,0.00004759911,0.00004576008,0.00001616668],"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":[0.00001117786,0.00001997417,0.000212538,0.00003058458,0.000004233201,0.00003870653,0.0001167932,0.001283121,0.0001753224,0.9515558,0.01434036,0.03221136],"study_design_scores_gemma":[0.000003808085,0.000008399104,0.0005947156,0.00005595353,0.00000350922,0.0001043961,0.00007614581,0.001430592,0.0001355155,0.9173454,0.08023565,0.000005883651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01541792,0.06503234,0.02340204,0.007958633,0.0008694652,0.00002919174,0.0001466544,0.00007017081,0.8870737],"genre_scores_gemma":[0.346068,0.0456383,0.00678293,0.001331137,0.001582022,0.00005801814,0.0001695376,0.00009009975,0.59828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01556449,"threshold_uncertainty_score":0.05206847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454249171989817,"score_gpt":0.2199649403001547,"score_spread":0.1954224485802565,"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."}}