{"id":"W7019627375","doi":"","title":"Incorporating Ratios in DEAâApplications to Real Data","year":2009,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Efficient frontier; Set (abstract data type); Production (economics); Data set; Production–possibility frontier; MATLAB; Software; Scale (ratio)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008212512,0.001190985,0.0009202799,0.001885151,0.0003796851,0.00349078,0.001390682,0.000795532,0.00613123],"category_scores_gemma":[0.03407185,0.00062515,0.001233168,0.002797544,0.0008549071,0.0038388,0.001637915,0.002351578,0.001325084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771425,"about_ca_system_score_gemma":0.001208232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003843851,"about_ca_topic_score_gemma":0.004336566,"domain_scores_codex":[0.995152,0.002868167,0.0003805947,0.0005991985,0.000901413,0.00009874941],"domain_scores_gemma":[0.9841956,0.01276823,0.0007335752,0.001399007,0.0008411933,0.00006246668],"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":[0.0001151666,0.0001097258,0.001714237,0.0004427513,0.0001478006,0.0002352167,0.0002563467,0.5222205,0.001679827,0.2219689,0.003193725,0.2479158],"study_design_scores_gemma":[0.00001130709,0.00004512159,0.0004470014,0.0000644684,0.00002199944,0.0000717314,0.0000735608,0.9325591,0.002774365,0.05236783,0.01152884,0.00003472715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006016345,0.0002549113,0.9896044,0.0002114115,0.00008333119,0.00006212424,0.0001393821,0.0002832254,0.003344833],"genre_scores_gemma":[0.2314751,0.00116918,0.7596784,0.0001922546,0.00008886385,0.0003809421,0.000469648,0.0003589417,0.006186737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008212512,"threshold_uncertainty_score":0.04343241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198210913106923,"score_gpt":0.2632848100600144,"score_spread":0.2413027009289451,"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."}}