{"id":"W4394007771","doi":"","title":"Matrix-variate, vector-variate and univariate risk measures and related aspects","year":2021,"lang":"en","type":"preprint","venue":"Thèses en ligne de l'Université Toulouse III (Université Toulouse III)","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Medellín; McMaster University; Indian National Science Academy","keywords":"Random variate; Univariate; Computer science; Statistics; Multivariate statistics; Artificial intelligence; Mathematics; Random variable","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003324416,0.001504015,0.002251229,0.002228749,0.001757918,0.001580489,0.002507684,0.002061613,0.001121491],"category_scores_gemma":[0.0007550035,0.00161597,0.0007056922,0.002558402,0.0005291518,0.001823129,0.00479522,0.002353261,0.00009834248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000934108,"about_ca_system_score_gemma":0.001210498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003836,"about_ca_topic_score_gemma":0.001878767,"domain_scores_codex":[0.9896621,0.002219978,0.001422109,0.003098839,0.002187098,0.001409848],"domain_scores_gemma":[0.9911502,0.001700677,0.002131885,0.002628844,0.001245998,0.001142416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00872838,0.002356016,0.04830256,0.0005385392,0.01312611,0.0315621,0.424387,0.2035162,0.008730114,0.06764452,0.05164819,0.1394603],"study_design_scores_gemma":[0.04808852,0.002617352,0.4018974,0.002588114,0.01804443,0.004763673,0.1609467,0.1377838,0.003485279,0.09111246,0.1106047,0.01806754],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543382,0.005304614,0.01573438,0.00180565,0.001611696,0.001420379,0.0004581973,0.0009717359,0.01835518],"genre_scores_gemma":[0.9459444,0.03939578,0.004356962,0.0001336527,0.0003230968,0.000006777992,0.0002243745,0.0001943218,0.009420634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3535949,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141539162407204,"score_gpt":0.256681396548758,"score_spread":0.2425274803080376,"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."}}