{"id":"W2220795505","doi":"10.2139/ssrn.2798608","title":"Information, Credit, and Organization","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Knowledge management; Computer science","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":[0.0009089581,0.0001332177,0.0003061456,0.001496916,0.0006680972,0.005359469,0.0002411417,0.001269036,0.02540044],"category_scores_gemma":[0.01326138,0.0001218764,0.0001382089,0.003573099,0.001351116,0.003030998,0.0006754488,0.0007403335,0.001764212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139088,"about_ca_system_score_gemma":0.0009409774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005072807,"about_ca_topic_score_gemma":0.005836501,"domain_scores_codex":[0.9995146,0.0001591675,0.00004008925,0.0000820092,0.0001223252,0.00008185003],"domain_scores_gemma":[0.9864608,0.006588363,0.00414073,0.0007084445,0.001035611,0.001066011],"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":[0.0007256698,0.0004954201,0.3079033,0.0002209126,0.0001480097,0.0004697108,0.00151968,0.006596319,0.00036138,0.4904197,0.04921316,0.1419269],"study_design_scores_gemma":[0.0001166351,0.000202667,0.2493964,0.0002852455,0.0001383768,0.0004913318,0.002201786,0.007550081,0.0003327854,0.6812454,0.05798012,0.0000592076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6499749,0.01754912,0.009470403,0.03958076,0.0004212521,0.00005893789,0.004074648,0.0001047676,0.2787652],"genre_scores_gemma":[0.9836089,0.002776823,0.0002664419,0.0003297771,0.0002760783,0.00001076364,0.0003495956,0.000009261175,0.01237228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02540044,"threshold_uncertainty_score":0.08497292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005514054818039708,"score_gpt":0.1830235470566804,"score_spread":0.1775094922386407,"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."}}