{"id":"W4311858761","doi":"10.1515/strm-2021-0033","title":"Minkowski deviation measures","year":2022,"lang":"en","type":"article","venue":"Statistics & Risk Modeling","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Converse; Minkowski space; Measure (data warehouse); Bounded function; Large deviations theory; Minkowski addition; Absolute deviation; Set (abstract data type); Regular polygon; Applied mathematics; Mathematical analysis; Statistics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003123463,0.0001254362,0.0001946217,0.0002750315,0.0009150684,0.000195729,0.0004292073,0.00003324167,0.0005190836],"category_scores_gemma":[0.002600416,0.0001152374,0.00005796078,0.0006077497,0.00002294986,0.0001775418,0.0001515711,0.0002553669,0.0001074032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007634993,"about_ca_system_score_gemma":0.0001315689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002909387,"about_ca_topic_score_gemma":0.0000886881,"domain_scores_codex":[0.9963373,0.0004197123,0.0006829625,0.0004074122,0.001913046,0.0002395742],"domain_scores_gemma":[0.998048,0.0005080545,0.0004889018,0.0004165446,0.0004489619,0.00008955386],"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":[0.00001967053,0.00001988759,0.003754291,4.399749e-7,0.000007305549,0.000003926896,0.0006472858,0.8779754,0.000009778179,0.01061196,0.005663002,0.1012871],"study_design_scores_gemma":[0.0001437204,0.0000323828,0.0002306369,9.116663e-7,0.00002112719,0.000003328799,0.0004601971,0.7801052,0.000006277798,0.2077586,0.01111983,0.0001178441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02752646,0.0002929847,0.968813,0.00007813367,0.0004932273,0.0001436134,0.0006136689,0.00004783638,0.001991079],"genre_scores_gemma":[0.8866422,0.0004414477,0.1118496,0.00009772756,0.00006973876,0.00002732463,0.0001069061,0.00001921652,0.0007458507],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8591157,"threshold_uncertainty_score":0.7038059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1110807268974443,"score_gpt":0.3678375440415261,"score_spread":0.2567568171440818,"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."}}