{"id":"W2958272519","doi":"10.18280/mmep.010104","title":"DISTANCE BETWEEN UNCERTAIN RANDOM VARIABLES","year":2014,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Random variable; Mathematics; Computer science; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00447914,0.0002440419,0.0006000773,0.000132295,0.0001327291,0.0004925107,0.0004657817,0.000115941,0.00007643234],"category_scores_gemma":[0.002358648,0.0001757345,0.00008900475,0.0003409944,0.00005327181,0.0001920783,0.0001272378,0.0002131863,0.0001098687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001915051,"about_ca_system_score_gemma":0.000007297039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007421253,"about_ca_topic_score_gemma":3.3948e-7,"domain_scores_codex":[0.9971993,0.00008863265,0.0008953839,0.0005346792,0.0008796767,0.0004023359],"domain_scores_gemma":[0.9943171,0.004679931,0.000118977,0.0005587963,0.0001085295,0.0002167272],"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":[0.000008142741,0.00001817854,0.0001123271,0.0001045376,0.00001273782,0.000001089809,0.0004372043,0.9491454,0.00009598931,0.03773041,0.0000622168,0.01227176],"study_design_scores_gemma":[0.0003681024,0.0000149286,0.00001458796,0.0001795429,0.00001114148,0.000003581299,0.00001358417,0.7515724,0.0000234601,0.2401928,0.007430308,0.0001756282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02722267,0.000122146,0.9709314,0.0001600269,0.0001171417,0.0001759698,0.000004151177,0.0001468662,0.001119681],"genre_scores_gemma":[0.829878,0.000007527552,0.1696307,0.00002066571,0.0001139881,0.00002129164,0.000001583421,0.00002920567,0.0002969432],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8026554,"threshold_uncertainty_score":0.7166244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243157373420731,"score_gpt":0.3275159118269876,"score_spread":0.2032001744849145,"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."}}