{"id":"W4396568524","doi":"10.1080/03155986.2024.2346708","title":"Stability analysis and enhancement of super-efficiency model based on space distance","year":2024,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China; National Natural Science Foundation of China","keywords":"Stability (learning theory); Space (punctuation); Computer science; Mathematics; Machine learning","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01191358,0.0001090261,0.0002571561,0.001068533,0.0003349495,0.001205726,0.0002758316,0.0000663184,0.0001076498],"category_scores_gemma":[0.001351875,0.00007630187,0.00006375793,0.002285382,0.0002284874,0.001390914,0.00008296976,0.0001537266,0.0001099276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017361,"about_ca_system_score_gemma":0.0003852846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001109242,"about_ca_topic_score_gemma":0.00002698557,"domain_scores_codex":[0.9958388,0.0002350418,0.00108782,0.0002699438,0.002370334,0.0001981008],"domain_scores_gemma":[0.9956936,0.001999028,0.000109603,0.0004863485,0.001589291,0.0001221456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006351437,0.00004375157,0.002947296,0.0002278025,0.00005114558,2.136513e-7,0.003684607,0.08979227,0.0004585397,0.8979594,0.0009491306,0.00382239],"study_design_scores_gemma":[0.0001223414,0.00006483229,0.001156966,0.00004730985,0.000009062648,9.166326e-7,0.001746322,0.9842209,0.0005445222,0.0009470058,0.01106125,0.00007863047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2000686,0.0001955717,0.7809626,0.0008840833,0.00008224496,0.0009595533,0.0003471037,0.00002268996,0.01647751],"genre_scores_gemma":[0.9986367,0.000009427488,0.0004190913,0.00003877365,0.00001641007,0.0002013512,0.00004476011,0.000003238641,0.0006302242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8970124,"threshold_uncertainty_score":0.9998311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385698566660762,"score_gpt":0.4354083590214449,"score_spread":0.2968385023553686,"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."}}