{"id":"W4412311241","doi":"","title":"Limit Theorems for Harmonizable Lévy-driven Processes and Analysis of Sequential Medical Data","year":2019,"lang":"en","type":"article","venue":"","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Aarhus Universitet","keywords":"Limit (mathematics); Mathematics; Calculus (dental); Statistical physics; Mathematical analysis; Physics; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00346589,0.00008663001,0.000421115,0.000216524,0.00006246047,0.0001062175,0.001399019,0.0001019866,0.001968126],"category_scores_gemma":[0.004222302,0.00004957426,0.00008027905,0.001103423,0.0002071875,0.0004986111,0.0005687124,0.00006238814,0.00002793287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006129911,"about_ca_system_score_gemma":0.0002679138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008327128,"about_ca_topic_score_gemma":0.0004687192,"domain_scores_codex":[0.9975581,0.00007941022,0.0005008447,0.0005994801,0.001090889,0.0001713181],"domain_scores_gemma":[0.9963475,0.001930114,0.0001472468,0.001061412,0.0003977401,0.0001159355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001118452,0.001566642,0.5333353,0.0007103673,0.004578048,0.000008310687,0.004446325,0.01048671,0.002548805,0.2299208,0.03234247,0.1789378],"study_design_scores_gemma":[0.000525617,0.0001021672,0.001569722,0.00001572137,0.0003786452,0.000001931105,0.0003220971,0.8985207,0.001093135,0.08996302,0.007355107,0.0001521316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5840449,0.0004738679,0.4076486,0.002205661,0.0001794415,0.0005706978,0.0004610733,0.00003818421,0.004377619],"genre_scores_gemma":[0.9924911,0.00009387485,0.005545055,0.0001551301,0.00002423626,0.000005687799,0.00006527732,0.000004619642,0.001614998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.888034,"threshold_uncertainty_score":0.9989442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2603175430206788,"score_gpt":0.4303099227208665,"score_spread":0.1699923797001877,"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."}}