{"id":"W2744487672","doi":"10.1103/physrevfluids.3.094603","title":"Statistics of incremental averages of passive scalar fluctuations","year":2018,"lang":"en","type":"article","venue":"Physical Review Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; National Science Foundation","keywords":"Statistics; Scalar (mathematics); Mathematics; Statistical physics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005936619,0.0001073848,0.0003093218,0.00002695261,0.00001947845,0.000003520498,0.0001149756,0.00001630446,0.000138652],"category_scores_gemma":[0.00006819309,0.00009460285,0.00008065184,0.0001628115,0.00009541755,0.00004754713,0.00003455977,0.00006258003,0.00005192853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064558,"about_ca_system_score_gemma":0.00001342252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007388692,"about_ca_topic_score_gemma":0.000001962088,"domain_scores_codex":[0.9993032,0.00001935505,0.0002775782,0.00009206263,0.000189588,0.0001182022],"domain_scores_gemma":[0.9995296,0.00006360998,0.00003569068,0.0002021067,0.0001222215,0.00004677943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001302971,0.0006005469,0.0003472946,0.01014343,0.0004793042,0.000004803073,0.0006167298,0.00165328,0.5448239,0.3114406,0.03780913,0.09206787],"study_design_scores_gemma":[0.0004376693,0.0003880767,0.004130873,0.002104778,0.0003040644,0.000002059247,0.000007049386,0.9294015,0.0484276,0.006779176,0.007612304,0.00040486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8915799,0.02257301,0.0720665,0.000218035,0.0007170076,0.00113692,0.001335254,0.0001801099,0.01019326],"genre_scores_gemma":[0.9912524,0.006472547,0.002024679,0.00004519669,0.000111659,0.00001247304,0.00004658332,0.00001793825,0.00001650456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9277482,"threshold_uncertainty_score":0.3857792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007630338775475211,"score_gpt":0.2577617693432368,"score_spread":0.2501314305677616,"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."}}