{"id":"W4234690545","doi":"10.2139/ssrn.2021966","title":"Credit Supply Shocks and Collateral","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Collateral; Business; Collateral damage; Financial system; Monetary economics; Economics; Finance","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":[0.0008748198,0.0001971578,0.0004302557,0.0009741519,0.0004642953,0.003006307,0.0002709556,0.001766502,0.02055598],"category_scores_gemma":[0.01383812,0.0002616918,0.0002845524,0.00168962,0.000958615,0.002909964,0.0008660834,0.001683663,0.001406145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007131749,"about_ca_system_score_gemma":0.0005453842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003151327,"about_ca_topic_score_gemma":0.003577568,"domain_scores_codex":[0.9997368,0.00007236168,0.00003598218,0.00004230677,0.00004017419,0.00007230264],"domain_scores_gemma":[0.9877623,0.004084148,0.005904872,0.000669933,0.0005775633,0.001001228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001659285,0.0006804076,0.5271839,0.0002289187,0.0002059156,0.004018985,0.00117718,0.03908245,0.001525522,0.3299128,0.02841582,0.06590874],"study_design_scores_gemma":[0.0002122505,0.0003290358,0.3716329,0.0002286257,0.0001549617,0.001880815,0.001634412,0.04194071,0.0009097629,0.5620043,0.01896903,0.000103195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421976,0.003421989,0.004764762,0.0110559,0.0001168274,0.00004682609,0.002249896,0.0001434051,0.03600275],"genre_scores_gemma":[0.992523,0.0007480243,0.00009168075,0.00009615138,0.00009221864,0.000004169088,0.0003140271,0.000009130804,0.006121708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02055598,"threshold_uncertainty_score":0.06876659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121331327857714,"score_gpt":0.213067273214076,"score_spread":0.2009341404283046,"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."}}