{"id":"W2056298903","doi":"10.1007/s10463-006-0090-4","title":"On weak convergence of random fields","year":2006,"lang":"en","type":"article","venue":"Annals of the Institute of Statistical Mathematics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Verifiable secret sharing; Mathematics; Stochastic process; Convergence (economics); Simple (philosophy); Applied mathematics; Process (computing); Mathematical optimization; Statistical physics; Computer science; Statistics","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":[0.01596683,0.002415479,0.003624832,0.00783738,0.001686195,0.004924786,0.002359298,0.003299042,0.005043306],"category_scores_gemma":[0.05170185,0.001444278,0.002571938,0.004002003,0.009183245,0.01073084,0.005879025,0.007547641,0.000775234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002934871,"about_ca_system_score_gemma":0.002025351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002175302,"about_ca_topic_score_gemma":0.001329075,"domain_scores_codex":[0.9960849,0.002465698,0.0002346448,0.0004718321,0.0005364583,0.0002064085],"domain_scores_gemma":[0.9426474,0.04524434,0.00236567,0.001904084,0.005102271,0.002736269],"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":[0.00003684211,0.00002076244,0.0003706874,0.00008741364,0.00004105012,0.00004337192,0.0001243475,0.006452849,0.0002339145,0.9875252,0.001441332,0.003622338],"study_design_scores_gemma":[0.00001910742,0.00002081053,0.0002385569,0.00004058611,0.00001575201,0.00003714335,0.00002933899,0.03542937,0.00008722002,0.9618115,0.002254137,0.00001642431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07451886,0.02382926,0.8383828,0.01579316,0.002404092,0.00008171578,0.0004495037,0.0002943487,0.04424621],"genre_scores_gemma":[0.7443322,0.04163456,0.1360399,0.005390757,0.01011691,0.0006702426,0.001453591,0.0008121445,0.05954982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01596683,"threshold_uncertainty_score":0.08444166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06355185757525796,"score_gpt":0.2780131508831435,"score_spread":0.2144612933078855,"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."}}