{"id":"W3207953279","doi":"10.1103/physreve.104.045101","title":"Smallest scale of wrinkles of a Huygens front in extremely strong turbulence","year":2021,"lang":"en","type":"article","venue":"Physical review. E","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office National d'études et de Recherches Aérospatiales; Ministry of Education and Science of the Russian Federation; Canada Excellence Research Chairs, Government of Canada","keywords":"Turbulence; Homogeneous isotropic turbulence; Front (military); Fractal; Length scale; Physics; Scale (ratio); Isotropy; Advection; Geometry; Intermittency; Constant (computer programming); Dissipation; Mathematics; Mechanics; Mathematical analysis; Optics; Direct numerical simulation; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002896421,0.0002297988,0.000151607,0.0009856683,0.0002976061,0.0006610419,0.0002033942,0.000213226,0.000872102],"category_scores_gemma":[0.001326203,0.0001356906,0.0002668068,0.000233627,0.0007357856,0.0006151883,0.0004323402,0.0003920616,0.0001121866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003618597,"about_ca_system_score_gemma":0.0002084678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008171724,"about_ca_topic_score_gemma":0.0003392583,"domain_scores_codex":[0.9998801,0.00001619106,0.000006578691,0.00002494277,0.00004070377,0.0000316177],"domain_scores_gemma":[0.9992436,0.000222199,0.0002553352,0.00005952909,0.0001014893,0.000117739],"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":[0.001126206,0.0002456668,0.0825355,0.0003982256,0.0001290341,0.00243871,0.002622454,0.1596827,0.4295768,0.1989268,0.002548478,0.1197695],"study_design_scores_gemma":[0.00005991764,0.000558891,0.2725852,0.00006839228,0.00005692843,0.001142412,0.0005811049,0.6007162,0.0485374,0.07046871,0.005031435,0.0001933435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305763,0.0002866004,0.06473069,0.00005981734,0.00002460853,0.0000318362,0.0001096027,0.0001895058,0.003991074],"genre_scores_gemma":[0.9933161,0.00007404174,0.005982877,0.000006557166,0.00001921217,0.000008891904,0.00005436053,0.00002042589,0.0005175573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009856683,"threshold_uncertainty_score":0.002917469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217722983082809,"score_gpt":0.2541594287587942,"score_spread":0.2419821989279661,"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."}}