{"id":"W2890826880","doi":"10.1016/j.ejor.2018.09.008","title":"A dynamic multi-stage slacks-based measure data envelopment analysis model with knowledge accumulation and technological evolution","year":2018,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Data envelopment analysis; Measure (data warehouse); Computer science; Endowment; Econometrics; Operations research; Mathematical optimization; Economics; Mathematics; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002365834,0.0009774319,0.002362209,0.001345281,0.0007450507,0.003297389,0.002149205,0.002207415,0.00407329],"category_scores_gemma":[0.002436596,0.0009598099,0.001638098,0.002376463,0.0008737377,0.002322505,0.001734147,0.00140722,0.0004558749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002745929,"about_ca_system_score_gemma":0.003371111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574685,"about_ca_topic_score_gemma":0.008669434,"domain_scores_codex":[0.998984,0.0003450614,0.00005736157,0.0002684149,0.0001502856,0.0001948019],"domain_scores_gemma":[0.9989418,0.0005729769,0.0001661779,0.00004822575,0.0001894097,0.00008132833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000377018,0.00002740754,0.000349859,0.00005355794,0.00003547104,0.00005494889,0.00003734332,0.9845564,0.0004085333,0.01055674,0.0001684388,0.003713585],"study_design_scores_gemma":[0.000006008458,0.00001833612,0.0001228958,0.000006380033,0.000012066,0.000006326997,0.000008728402,0.9972813,0.00008351355,0.002263032,0.0001840115,0.000007420977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09348465,0.0006219298,0.8945141,0.0006200926,0.00006108001,0.0001562071,0.0005352602,0.0001944856,0.009812151],"genre_scores_gemma":[0.9569098,0.0004393401,0.03416198,0.00004796387,0.00001797339,0.000232566,0.0002715587,0.00003282007,0.00788602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01574685,"threshold_uncertainty_score":0.03131044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5396066245187701,"score_gpt":0.5337896822506221,"score_spread":0.005816942268147995,"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."}}