{"id":"W3175748578","doi":"10.1111/twec.13159","title":"Does more finance lead to longer crises?","year":2021,"lang":"en","type":"article","venue":"World Economy","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Agence Nationale de la Recherche","keywords":"Endogeneity; Economics; Sample (material); Duration (music); Monetary economics; Dimension (graph theory); Econometrics; Financial crisis; Macroeconomics; Mathematics; Physics","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":[0.001854882,0.0001578624,0.0004233902,0.001065854,0.0003769753,0.001888473,0.0002677806,0.0009095962,0.01345724],"category_scores_gemma":[0.01945053,0.0001692414,0.0004426086,0.001388984,0.000994341,0.001321572,0.0008817007,0.001355567,0.0006037269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149974,"about_ca_system_score_gemma":0.0006283536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004442144,"about_ca_topic_score_gemma":0.003161023,"domain_scores_codex":[0.9990564,0.0003346395,0.0001006606,0.0001956266,0.0001112973,0.0002013562],"domain_scores_gemma":[0.9591682,0.01556963,0.02105265,0.0006522572,0.001053278,0.002504019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006305126,0.0001508506,0.9772406,0.0001453717,0.0002186781,0.0004322512,0.0003724151,0.001279272,0.0003539613,0.003441273,0.002895065,0.01283966],"study_design_scores_gemma":[0.00003881896,0.00008797937,0.9889147,0.0001062778,0.0001011979,0.0003314387,0.0009511468,0.00115447,0.000271496,0.005318355,0.002706677,0.00001746253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981868,0.004123659,0.0005830447,0.006089923,0.0001035312,0.00001040594,0.0009855346,0.0000234523,0.00621242],"genre_scores_gemma":[0.9986356,0.0004690103,0.00006172879,0.000247782,0.0000927911,0.000003322372,0.0001633194,0.000005010191,0.0003215565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01345724,"threshold_uncertainty_score":0.04501897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153793290463666,"score_gpt":0.2377996126850091,"score_spread":0.2162616797803724,"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."}}