{"id":"W2801514619","doi":"10.1080/01605682.2018.1457482","title":"A secondary goal in DEA cross-efficiency evaluation: A “one home run is much better than two doubles” criterion","year":2018,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Data envelopment analysis; Weighting; Mathematical optimization; Ranking (information retrieval); Efficiency; Computer science; Cardinality (data modeling); Ideal point; Set (abstract data type); Point (geometry); Operations research; Mathematics; Statistics; Data mining; Estimator; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01297528,0.002540127,0.002847287,0.00290021,0.00162269,0.005747341,0.001714154,0.002960625,0.006337402],"category_scores_gemma":[0.02238656,0.0006629201,0.002796405,0.004154058,0.001881619,0.004507088,0.003647073,0.00352003,0.001293384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221699,"about_ca_system_score_gemma":0.004140666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00291763,"about_ca_topic_score_gemma":0.003119705,"domain_scores_codex":[0.985686,0.007242274,0.0007078903,0.001566794,0.003928921,0.0008681132],"domain_scores_gemma":[0.9885947,0.005681462,0.001235665,0.001311649,0.002885666,0.0002909639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004386518,0.0004576943,0.006211428,0.001420228,0.0007267794,0.0004696044,0.0008844377,0.3488658,0.008364662,0.3750899,0.01155353,0.2455173],"study_design_scores_gemma":[0.00007365843,0.0005307354,0.004491337,0.0004219332,0.0002496878,0.0005247142,0.0005132876,0.7796067,0.01174937,0.1700766,0.03156324,0.0001987471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01603657,0.000631502,0.9638909,0.000684624,0.00013044,0.0001722998,0.0001617299,0.0002312723,0.01806068],"genre_scores_gemma":[0.3831021,0.0005793802,0.6037399,0.0006018567,0.0001529041,0.0009367694,0.0006146141,0.0005101408,0.009762255],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01297528,"threshold_uncertainty_score":0.06862062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2150128802638039,"score_gpt":0.5223569650793601,"score_spread":0.3073440848155562,"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."}}