{"id":"W2081687870","doi":"10.1057/palgrave.jors.2601773","title":"A free coordination hull approach to efficiency measurement","year":2004,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Hull; Data envelopment analysis; Binary number; Component (thermodynamics); Computer science; Zero (linguistics); Mathematical optimization; Sample (material); Analogy; Simple (philosophy); Set (abstract data type); Operations research; Mathematics; Engineering; Arithmetic","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0484442,0.0001164463,0.000251801,0.0003050876,0.001156696,0.0006974434,0.003096821,0.00007751261,0.00005902534],"category_scores_gemma":[0.03141749,0.0000630136,0.0005699146,0.003594398,0.0002776969,0.0004414305,0.0004910835,0.0007099001,0.00006578382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106587,"about_ca_system_score_gemma":0.001906824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003276176,"about_ca_topic_score_gemma":0.00001766396,"domain_scores_codex":[0.982734,0.0007898586,0.0009332729,0.0003245159,0.01484806,0.0003702993],"domain_scores_gemma":[0.9884768,0.0007057439,0.0003022467,0.0007481908,0.009552758,0.0002142821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006497047,0.001342091,0.0008550065,0.000007947371,0.0001306666,0.000002596618,0.006234968,0.678276,0.03315819,0.03127644,0.2472219,0.00142919],"study_design_scores_gemma":[0.01262719,0.002903231,0.07814962,0.0007988469,0.0002496665,0.0004913499,0.0283231,0.2148307,0.04631091,0.4506071,0.1629902,0.001718208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4726738,0.000621969,0.3458205,0.166221,0.0009583823,0.001041473,0.00002391548,0.00001729439,0.01262168],"genre_scores_gemma":[0.9869683,0.000006591647,0.01093175,0.0007629285,0.0002940194,0.000007732328,3.977466e-7,0.000008596153,0.001019638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5142946,"threshold_uncertainty_score":0.9798269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2740224884239578,"score_gpt":0.4544255402443,"score_spread":0.1804030518203422,"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."}}