{"id":"W174632341","doi":"","title":"The evolution of credit in Chile","year":2011,"lang":"de","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Economics; Slowdown; Monetary economics; Quarter (Canadian coin); Economic slowdown; Supply shock; Bank credit; Demand shock; Financial system; Monetary policy; Economic policy; Economic growth; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021449,0.0001769762,0.0002854335,0.001827367,0.001380585,0.006462638,0.0007133095,0.001475585,0.007434651],"category_scores_gemma":[0.005976136,0.0003059125,0.000252192,0.003605737,0.002154877,0.002636979,0.002773661,0.002077047,0.0005400597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01764005,"about_ca_system_score_gemma":0.004590448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09893233,"about_ca_topic_score_gemma":0.05928453,"domain_scores_codex":[0.9995121,0.00008933066,0.00002434045,0.00009105416,0.0001211925,0.0001620089],"domain_scores_gemma":[0.9985972,0.0002202251,0.0003394467,0.00008727146,0.0003903742,0.0003655361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007338292,0.000301314,0.2069707,0.0007845678,0.0001421756,0.005538995,0.02331531,0.008559131,0.002576428,0.5232669,0.06604438,0.1617664],"study_design_scores_gemma":[0.0001395529,0.00008105899,0.381932,0.0006159358,0.00003240241,0.0008153437,0.01388896,0.003370243,0.0007319967,0.05296107,0.54531,0.0001212852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6763025,0.01179724,0.001181995,0.06031281,0.0002964515,0.00008837418,0.003535856,0.00009859229,0.2463862],"genre_scores_gemma":[0.9647084,0.003745783,0.0003650088,0.0009997383,0.0001989544,0.00005151562,0.0006941675,0.00003747065,0.0291989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09893233,"threshold_uncertainty_score":0.196713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411871891066929,"score_gpt":0.282932681756481,"score_spread":0.2417454926497881,"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."}}