{"id":"W3127270216","doi":"10.5430/ijfr.v12n1p369","title":"Financial Resources Management in Commercial Banks: Evidence From Latvia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latvian; Business; Finance; Market liquidity; Equity (law); Profitability index; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023318,0.0002420071,0.0003423517,0.002354559,0.0007008584,0.001337221,0.0003814135,0.0007138563,0.003010686],"category_scores_gemma":[0.004476244,0.0002566766,0.0002189244,0.004056882,0.001217252,0.0006965545,0.0008325173,0.0003762494,0.0003540946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126742,"about_ca_system_score_gemma":0.001560943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201581,"about_ca_topic_score_gemma":0.06294446,"domain_scores_codex":[0.9991801,0.0002757207,0.0001469471,0.0001030353,0.0001710329,0.0001230462],"domain_scores_gemma":[0.9909205,0.004106648,0.003117555,0.0002355884,0.001337412,0.0002822267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006700468,0.0002563126,0.9219066,0.002174835,0.0002287741,0.003600867,0.01559356,0.0004786559,0.001027507,0.001748448,0.002042836,0.05027159],"study_design_scores_gemma":[0.00002040765,0.0001234523,0.9832053,0.0006100125,0.00008480455,0.0005859913,0.009854674,0.0001938467,0.0002098014,0.0001258701,0.004972838,0.00001293301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904296,0.004160791,0.00007385834,0.0004705377,0.000007682209,0.00001425402,0.0005036598,0.000003534812,0.00433616],"genre_scores_gemma":[0.995666,0.003170734,0.00007877875,0.00014131,0.000009612741,0.0000130341,0.000478327,0.000002213384,0.0004399173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02201581,"threshold_uncertainty_score":0.04377532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256989849475172,"score_gpt":0.355451200878717,"score_spread":0.2297522159311998,"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."}}