{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278955,0.0002343674,0.0004300188,0.001265767,0.0002545197,0.001282415,0.0006908486,0.0003027722,0.001339283],"category_scores_gemma":[0.006887299,0.0001953639,0.0002804018,0.0007578174,0.0009189948,0.002803637,0.0005289639,0.0005751898,0.0002164966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003838655,"about_ca_system_score_gemma":0.0002710983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004635922,"about_ca_topic_score_gemma":0.0002941385,"domain_scores_codex":[0.9995522,0.00005439676,0.00003422147,0.0001370758,0.0001573923,0.00006476739],"domain_scores_gemma":[0.9961556,0.00158595,0.0007018778,0.00046174,0.0008294881,0.0002653679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007111179,0.000177275,0.04163981,0.0003673399,0.0001363568,0.0006469778,0.0006110179,0.08334525,0.06829216,0.7135555,0.004866756,0.08565038],"study_design_scores_gemma":[0.00003499679,0.0004809923,0.07657073,0.00005965367,0.00009043803,0.0008879121,0.0002575026,0.5387992,0.03275343,0.3422554,0.00754596,0.0002637846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7150183,0.0009789423,0.2725882,0.0002692265,0.0001586529,0.00003617476,0.0008290758,0.0005879787,0.009533517],"genre_scores_gemma":[0.9892803,0.0003836598,0.008210937,0.00003477024,0.000119016,0.0000243439,0.0004731421,0.00008885541,0.001385009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001339283,"threshold_uncertainty_score":0.006763816,"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."}}