{"id":"W4250126807","doi":"10.1017/s0021900200020192","title":"Generalized Lorenz curves and convexifications of stochastic processes","year":2003,"lang":"en","type":"article","venue":"Journal of Applied Probability","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Université Lille 1 - Sciences et Technologies; University of Manitoba","keywords":"Mathematics; Fractional Brownian motion; Brownian motion; Limit (mathematics); Range (aeronautics); Regular polygon; Stochastic process; Gaussian process; Asymptotic analysis; Applied mathematics; Mathematical analysis; Gaussian; Statistical physics; Statistics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001493703,0.0008223181,0.0005329278,0.00220242,0.0008195196,0.002197224,0.0009401364,0.000768532,0.004004179],"category_scores_gemma":[0.01184925,0.0003966612,0.000745529,0.001321885,0.003024778,0.005101856,0.001450525,0.002084194,0.0006127289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337991,"about_ca_system_score_gemma":0.0004621086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137708,"about_ca_topic_score_gemma":0.000498687,"domain_scores_codex":[0.9989784,0.0003344344,0.00004937157,0.0002080279,0.0002477699,0.0001819862],"domain_scores_gemma":[0.9964187,0.001547875,0.0008756504,0.0004635445,0.0004359201,0.0002583212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001647974,0.000009125079,0.0003923331,0.00001797946,0.00000931205,0.0001379533,0.0001767761,0.03628387,0.001321628,0.9522273,0.0002661441,0.009141215],"study_design_scores_gemma":[0.000006874745,0.0000305859,0.0006197012,0.00001684325,0.000005585265,0.0001763602,0.0001355498,0.1638685,0.001322005,0.8298077,0.003987846,0.0000224367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3207197,0.00108732,0.6324647,0.0009940044,0.00008067056,0.00009548054,0.0001641327,0.000205813,0.04418822],"genre_scores_gemma":[0.9394461,0.001060564,0.05025321,0.0001087788,0.0001446515,0.0001069538,0.000174179,0.00009407736,0.008611506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004004179,"threshold_uncertainty_score":0.01339531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600759603446058,"score_gpt":0.2297019229799463,"score_spread":0.1936943269454857,"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."}}