{"id":"W2292029867","doi":"","title":"Применение двухпараметрической к ю-модели турбулентности для исследования явления термобара","year":2014,"lang":"ru","type":"article","venue":"Вестник Томского государственного университета. Математика и механика","topic":"Aquatic and Environmental Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbulence; Turbulence modeling; Turbulence kinetic energy; Finite volume method; Mathematics; Dissipation; Physics; Mechanics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006491502,0.0002742904,0.0004264078,0.001415848,0.0007837162,0.001797455,0.0004407419,0.0005542815,0.006527665],"category_scores_gemma":[0.001305506,0.0003773984,0.0003603229,0.00170324,0.0009918668,0.0009472963,0.0006240095,0.0007698206,0.002724054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007605311,"about_ca_system_score_gemma":0.001393417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00435448,"about_ca_topic_score_gemma":0.0083785,"domain_scores_codex":[0.9994507,0.00004968685,0.00003166181,0.0001234069,0.0002852837,0.00005926497],"domain_scores_gemma":[0.9994999,0.0001230194,0.0001102896,0.00007854866,0.000144995,0.00004319721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002741649,0.0001378293,0.004822806,0.0009393761,0.00006445265,0.001399461,0.001949722,0.004727121,0.341204,0.1008238,0.003480932,0.5401764],"study_design_scores_gemma":[0.00007773875,0.000439394,0.0206428,0.0003755801,0.0002388225,0.003215051,0.002278334,0.01028719,0.2979163,0.04911738,0.6150938,0.0003176052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4282484,0.05736008,0.304089,0.003749113,0.002106081,0.0003807825,0.001786414,0.0008265877,0.2014536],"genre_scores_gemma":[0.7710035,0.02538613,0.1717991,0.0002488756,0.0004320573,0.0003709877,0.0005553082,0.0002523725,0.0299515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006527665,"threshold_uncertainty_score":0.02183723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009943344513644366,"score_gpt":0.1637964786600609,"score_spread":0.1538531341464165,"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."}}