{"id":"W2090070338","doi":"10.1016/j.ijheatfluidflow.2012.06.005","title":"A method for characterizing cross-sections of vortices in turbulent flows","year":2012,"lang":"en","type":"article","venue":"International Journal of Heat and Fluid Flow","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Turbulence; Vortex; Mechanics; Physics; Classical mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006000932,0.0008150575,0.0006445184,0.001857649,0.0007858744,0.0009076638,0.0008652197,0.000893986,0.001381033],"category_scores_gemma":[0.001481268,0.0006110641,0.0005953483,0.001134822,0.0005887824,0.00115402,0.0006450862,0.00100847,0.0004946961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757666,"about_ca_system_score_gemma":0.0006850907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326703,"about_ca_topic_score_gemma":0.001217203,"domain_scores_codex":[0.9996743,0.00006437648,0.00001750691,0.00008230454,0.000131247,0.0000303466],"domain_scores_gemma":[0.9990183,0.0004420217,0.00009357398,0.0001412487,0.0002426377,0.00006221446],"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":[0.0003405708,0.0002484876,0.005115586,0.0003349134,0.0001280751,0.0001646466,0.0003931118,0.07484491,0.3858854,0.03408697,0.002207126,0.4962501],"study_design_scores_gemma":[0.00003508019,0.000140237,0.003109368,0.00003281004,0.00004515224,0.0003202789,0.00006128073,0.9102027,0.07081535,0.008847127,0.006302775,0.00008772805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008217675,0.000136208,0.9906408,0.00001099323,0.00001662691,0.00004161823,0.0000717655,0.0004339238,0.0004302966],"genre_scores_gemma":[0.1588148,0.0002591413,0.8388019,0.00002507214,0.00003516084,0.0001584649,0.000175532,0.0001988004,0.001531195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001857649,"threshold_uncertainty_score":0.004620016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316821317210767,"score_gpt":0.2867429332758193,"score_spread":0.2735747201037117,"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."}}