{"id":"W2012314139","doi":"10.1093/imaman/dpn023","title":"An efficient method for calculating the minimum distance from an operating point to a specific (hyperbolic) efficient frontier","year":2008,"lang":"en","type":"article","venue":"IMA Journal of Management Mathematics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Frontier; Point (geometry); Quartic function; Hyperbola; Context (archaeology); Current (fluid); Econometrics; Mathematics; Economics; Geography; Physics; Geometry","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":[0.001881924,0.001062143,0.0009845523,0.002658283,0.0006174507,0.001493096,0.001241222,0.001213572,0.006843437],"category_scores_gemma":[0.01111394,0.0005448275,0.001023631,0.001700074,0.0008623567,0.001577017,0.001594172,0.002192762,0.002217445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008271395,"about_ca_system_score_gemma":0.001492391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853458,"about_ca_topic_score_gemma":0.00203992,"domain_scores_codex":[0.9992822,0.0001895718,0.00006018116,0.0001367981,0.0002817955,0.00004943008],"domain_scores_gemma":[0.996878,0.001988283,0.0002646205,0.0002495797,0.0005622976,0.00005713254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001401743,0.0001294848,0.00209171,0.0005980979,0.00009280776,0.0002530205,0.0004630963,0.4254975,0.01419448,0.1453793,0.00555515,0.4056051],"study_design_scores_gemma":[0.00003662341,0.0001132792,0.0007063367,0.00007381556,0.00002511853,0.0002523278,0.0001051848,0.9362254,0.004139776,0.04686146,0.01139099,0.00006963057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001149955,0.00005333878,0.9976314,0.00002678193,0.00001533461,0.00002645792,0.00002708481,0.0001410011,0.0009285839],"genre_scores_gemma":[0.040232,0.0001659388,0.9573031,0.00003449641,0.00002734205,0.0002399564,0.0001486931,0.0001966612,0.001651813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006843437,"threshold_uncertainty_score":0.02289361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130292641088188,"score_gpt":0.2810764027652821,"score_spread":0.2497734763544002,"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."}}