{"id":"W2148818026","doi":"10.1090/s0894-0347-2011-00692-9","title":"Fluctuation exponent of the KPZ/stochastic Burgers equation","year":2011,"lang":"lv","type":"article","venue":"Journal of the American Mathematical Society","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Magyar Tudományos Akadémia; Hungarian Scientific Research Fund; Wisconsin Alumni Research Foundation; National Science Foundation","keywords":"Algorithm; Artificial intelligence; Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096156,0.0001936706,0.0007146232,0.00004719308,0.000226597,0.00002853074,0.0008457507,0.00008499985,0.0001165468],"category_scores_gemma":[0.0009441731,0.0001280662,0.001046034,0.0007849642,0.0007100126,0.0001294196,0.0001742176,0.0003863234,0.00004502209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944565,"about_ca_system_score_gemma":0.000124792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008010273,"about_ca_topic_score_gemma":0.00000101876,"domain_scores_codex":[0.9977609,0.00002506521,0.001523817,0.0001897083,0.000233751,0.0002667377],"domain_scores_gemma":[0.9940983,0.0002846327,0.004787615,0.0005110807,0.0002242062,0.00009417604],"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":[0.00008937735,0.001081056,0.001234665,0.0002755789,0.0005105414,3.713853e-7,0.01579824,0.0004825389,0.0004838713,0.9744313,0.001280678,0.004331776],"study_design_scores_gemma":[0.0004087921,0.000214145,0.03864397,0.0002705331,0.000242895,0.00002231489,0.002034545,0.01404915,0.0003092979,0.9433914,0.0001704998,0.0002424199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1280439,0.0004349894,0.8679827,0.00205081,0.0004983974,0.0003228773,0.00003985205,0.000004721744,0.0006217285],"genre_scores_gemma":[0.9876324,0.00008269792,0.01160315,0.0003278527,0.0002005485,0.00001417029,4.314443e-7,0.00002453367,0.0001142057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8595885,"threshold_uncertainty_score":0.5222388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04823873996386668,"score_gpt":0.2342892496678047,"score_spread":0.186050509703938,"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."}}