{"id":"W2765399863","doi":"10.1016/j.physleta.2017.10.028","title":"A model for the turbulent suppression in swirling flows","year":2017,"lang":"en","type":"article","venue":"Physics Letters A","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Physics; Turbulence; Mechanics; Vortex; Classical mechanics; Statistical physics; Quantum electrodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007583816,0.0001144388,0.0001069894,0.00001676362,0.000172782,0.0001023842,0.0003113211,0.00002724525,0.000001343693],"category_scores_gemma":[0.000007217524,0.00008693697,0.00007797927,0.00001927346,0.00001692413,0.0001284477,0.0000440661,0.0001282831,0.000004896535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003343112,"about_ca_system_score_gemma":0.000004529731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001964118,"about_ca_topic_score_gemma":0.00002069733,"domain_scores_codex":[0.9994571,0.00000327144,0.0001088608,0.0001238361,0.00008987616,0.0002170352],"domain_scores_gemma":[0.9994579,0.00004044413,0.00002432934,0.0004439777,0.000009719442,0.00002361974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005181292,0.000009969593,0.0000600672,0.00002339118,0.00001311779,0.000001666636,0.0002685106,0.9789704,0.01518415,0.0006546732,0.001635447,0.003173403],"study_design_scores_gemma":[0.0003282312,0.000002642311,0.0001722065,0.00003135661,0.000009249145,2.939239e-7,0.000002099692,0.9973,0.0003662951,0.001244246,0.0004269789,0.0001164507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5921059,0.0001086177,0.4027671,0.003800509,0.0005056187,0.0004043474,0.00001689094,0.00007611189,0.0002150107],"genre_scores_gemma":[0.9978398,0.00003143197,0.001450382,0.0003175722,0.0002122535,0.00008626533,0.000006463808,0.00003194493,0.00002387021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.405734,"threshold_uncertainty_score":0.3545187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189244011447123,"score_gpt":0.2346913703582659,"score_spread":0.2127989302437947,"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."}}