{"id":"W3024233837","doi":"10.2139/ssrn.3597181","title":"Credit Supply, Firms, and Earnings Inequality","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Inequality; Earnings; Business; Economics; Financial system; Labour 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":[0.0009364474,0.0001304041,0.0002763188,0.00109004,0.0005304117,0.002383628,0.0003073469,0.0009330089,0.01025933],"category_scores_gemma":[0.009657758,0.0001008293,0.0002084001,0.001833083,0.0009004094,0.001313479,0.0009351915,0.001054625,0.0005873061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006561792,"about_ca_system_score_gemma":0.0004289845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01384515,"about_ca_topic_score_gemma":0.01877707,"domain_scores_codex":[0.9996374,0.0001095481,0.00003423911,0.00005219043,0.00004936459,0.0001173906],"domain_scores_gemma":[0.984418,0.008625809,0.004717639,0.000410911,0.000441835,0.001385713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003030823,0.0001751341,0.9808334,0.00002638721,0.00007106491,0.0001967742,0.0002662227,0.0013411,0.00007839418,0.007192153,0.002060415,0.007455938],"study_design_scores_gemma":[0.00002871404,0.00006380618,0.9799252,0.0000613614,0.00007862827,0.0001308542,0.001294628,0.003309557,0.00009871623,0.01306974,0.001924832,0.00001407491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847021,0.002580896,0.0003571089,0.003780705,0.00002705831,0.000005466318,0.0007117161,0.00001054327,0.007824418],"genre_scores_gemma":[0.9985398,0.0002887073,0.00001456778,0.00004478976,0.00005168827,0.000001660272,0.0001745253,0.000001388743,0.0008829225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01384515,"threshold_uncertainty_score":0.03432089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806264475639088,"score_gpt":0.2238560250180768,"score_spread":0.2057933802616859,"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."}}