{"id":"W3168087203","doi":"10.55365/1923.x2020.18.17","title":"Factors affecting US Financial Institutions profitability: Empirical Evidence","year":2020,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Net interest margin; Business; Affect (linguistics); Net interest income; Finance; Margin (machine learning); Empirical research; Capital (architecture); Financial system; Economics; Monetary economics; Interest rate; Return on assets; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001884706,0.0001275281,0.0006371953,0.00005137109,0.000139753,0.000053433,0.0004041728,0.00004800735,0.00002604076],"category_scores_gemma":[0.01492637,0.00009464985,0.0001986913,0.0006320024,0.0001956118,0.0003276923,0.0001473552,0.0001205942,0.00002658985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002827468,"about_ca_system_score_gemma":0.0002834696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001015247,"about_ca_topic_score_gemma":0.00001776171,"domain_scores_codex":[0.9982298,0.0001043566,0.0008633373,0.000509594,0.000140874,0.0001520462],"domain_scores_gemma":[0.998059,0.0008931531,0.0004747804,0.0003714332,0.0001398485,0.00006172722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005303066,0.0003151852,0.6071579,0.00523802,0.00006090342,0.00001110933,0.002717673,0.009655697,0.0001027778,0.07105505,0.005918358,0.2977143],"study_design_scores_gemma":[0.0003684125,0.0004861431,0.4470618,0.007936533,0.0001949796,0.00001077756,0.00016607,0.04016807,0.000604486,0.007044272,0.4950003,0.0009581695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463497,0.04770588,0.0007397239,0.004606028,0.00009779236,0.0002112198,0.00001512023,0.000007258729,0.0002672965],"genre_scores_gemma":[0.9317765,0.06608919,0.000549606,0.001524271,0.0000412813,0.000003550038,9.641188e-7,0.000003752663,0.00001088558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4890819,"threshold_uncertainty_score":0.9933713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3920899284420785,"score_gpt":0.427625987508505,"score_spread":0.03553605906642648,"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."}}