{"id":"W2033529091","doi":"10.6985/tbfq.201109.0023","title":"效率、績效衡量與決定因素之探討－台灣金融產業的實證研究","year":2011,"lang":"zh","type":"article","venue":"","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Panel data; Econometrics; Return on equity; Return on assets; Proxy (statistics); Economics; Equity (law); Malmquist index; Productivity; Quarter (Canadian coin); Business; Actuarial science; Total factor productivity; Finance; Mathematics; Statistics; Stock exchange; Macroeconomics","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":[0.001430225,0.0002793089,0.0006860093,0.001941527,0.0004731682,0.0009410551,0.0004333978,0.0004007934,0.004822029],"category_scores_gemma":[0.005935679,0.0002732237,0.0005287941,0.003410308,0.0002439414,0.00100609,0.0004816803,0.0007211266,0.002683135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009381705,"about_ca_system_score_gemma":0.0006587445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168224,"about_ca_topic_score_gemma":0.01266342,"domain_scores_codex":[0.9987362,0.0003181413,0.0001243517,0.0002811751,0.0003701854,0.0001700999],"domain_scores_gemma":[0.9928894,0.002486497,0.002445472,0.0008196056,0.00118614,0.0001728772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002407496,0.0005625364,0.8693642,0.000140159,0.0003441382,0.0001745755,0.0008338881,0.03358399,0.001551669,0.005038119,0.009929728,0.07823637],"study_design_scores_gemma":[0.00003532306,0.0002701342,0.9251029,0.00005632843,0.000165382,0.0002557018,0.001094408,0.03959385,0.004386624,0.004140357,0.02482403,0.00007490796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435565,0.0003137803,0.02164377,0.0004258664,0.00003173647,0.0001779439,0.02574048,0.0001068305,0.008002988],"genre_scores_gemma":[0.9482755,0.0002767816,0.009536033,0.0001116682,0.00004378314,0.0002789072,0.03707701,0.00002125665,0.004379081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168224,"threshold_uncertainty_score":0.02322847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866284289853735,"score_gpt":0.3762952638427135,"score_spread":0.18966683485734,"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."}}