{"id":"W7133034288","doi":"","title":"The impact of environmental variables on bank branch performance in a merger","year":2006,"lang":"","type":"dissertation","venue":"TSpace","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Efficiency; Customer base; Variable (mathematics); Convergence (economics); Regression; Regression analysis; Statistical inference","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00263652,0.0001767785,0.0002904731,0.0008345152,0.0006388787,0.001440649,0.0002586766,0.0003707874,0.001640216],"category_scores_gemma":[0.01013129,0.0001572357,0.0002704526,0.001664118,0.0007060425,0.0007848417,0.001018491,0.0004415822,0.000206401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002222687,"about_ca_system_score_gemma":0.001600466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03003606,"about_ca_topic_score_gemma":0.05828098,"domain_scores_codex":[0.9982448,0.0006124473,0.00007814834,0.0001468387,0.0005073986,0.0004103531],"domain_scores_gemma":[0.9923579,0.003898163,0.00165364,0.0002007457,0.001259732,0.0006297171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004625226,0.0003279336,0.9662116,0.00001375,0.00007722882,0.000214012,0.0004508815,0.01240254,0.001779457,0.000617033,0.0001758098,0.01726728],"study_design_scores_gemma":[0.000003579669,0.000208965,0.9937475,0.000003488922,0.0000176141,0.00001867721,0.0007159185,0.00432402,0.0006937897,0.00009198797,0.0001682431,0.000006415781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989142,0.00002730178,0.0002293622,0.00002216863,7.282003e-7,0.000006162937,0.00003054656,0.000002455816,0.0007669516],"genre_scores_gemma":[0.9992656,0.00003153779,0.0001784708,0.000006235945,0.000001539333,0.000005052142,0.00009253847,0.000001562773,0.0004174116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03003606,"threshold_uncertainty_score":0.05972248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222858459154165,"score_gpt":0.3653958967560247,"score_spread":0.3431673121644831,"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."}}