{"id":"W3121388931","doi":"10.1111/caje.12160","title":"From housing bust to credit crunch: Evidence from small business loans","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Alberta","funders":"","keywords":"Crunch; Bust; Credit crunch; Economics; Monetary economics; Financial system; Business; Finance; Boom; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001693834,0.0001488928,0.0003622181,0.001000624,0.0006514632,0.001461373,0.000575047,0.0007774782,0.008604969],"category_scores_gemma":[0.01468651,0.0002203138,0.0003098209,0.001995341,0.00150823,0.0007581461,0.001688956,0.001404748,0.0008086674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007328459,"about_ca_system_score_gemma":0.0006653994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04017979,"about_ca_topic_score_gemma":0.04588363,"domain_scores_codex":[0.9988441,0.0003252979,0.00007310835,0.0002995245,0.0002735991,0.0001842589],"domain_scores_gemma":[0.9670534,0.008556561,0.01658981,0.001493659,0.003845231,0.002461346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004106913,0.0001431154,0.9876758,0.00007141844,0.000147805,0.0001831108,0.000818521,0.000334068,0.0001555969,0.0007686353,0.003506891,0.005784364],"study_design_scores_gemma":[0.000009714799,0.00005009555,0.9962387,0.00002673169,0.0000375872,0.0000332543,0.001171542,0.0002486352,0.0001333324,0.0002637566,0.001779399,0.000007232547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925851,0.0005957629,0.0002082849,0.001306857,0.00002305263,0.00001366378,0.0008957279,0.000008508358,0.004362988],"genre_scores_gemma":[0.9980265,0.0003055679,0.0000379976,0.0002455949,0.00004843412,0.000007349016,0.000633632,0.000005217677,0.0006897039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9598202,"threshold_uncertainty_score":0.07989186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2369814151173273,"score_gpt":0.2026727876413265,"score_spread":0.03430862747600077,"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."}}