{"id":"W2912129081","doi":"10.1017/jfm.2019.21","title":"Reduction of pressure losses and increase of mixing in laminar flows through channels with long-wavelength vibrations","year":2019,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mechanics; Laminar flow; Pressure gradient; Mixing (physics); Wavelength; Reduction (mathematics); Vibration; Physics; Materials science; Acoustics; Optics","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":[0.0001507923,0.000094626,0.0002391313,0.0001965639,0.00002000774,0.00001309966,0.00006527353,0.00006232687,0.00003180905],"category_scores_gemma":[0.00003245001,0.0000837174,0.00004531626,0.0002126286,0.000009367335,0.0005534005,0.0000141014,0.0001651828,6.10582e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003012509,"about_ca_system_score_gemma":0.00003951615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002405473,"about_ca_topic_score_gemma":0.00002046604,"domain_scores_codex":[0.9992366,0.00002290432,0.0004302521,0.00006920983,0.0001483336,0.00009270834],"domain_scores_gemma":[0.9994327,0.00005282803,0.0001527407,0.0001250014,0.0002042607,0.00003250397],"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":[0.00007007055,0.00008575415,0.0001770652,0.0001935893,0.0001106574,0.000003594356,0.0007833386,0.8209051,0.1741106,0.003209492,0.00004594439,0.0003047454],"study_design_scores_gemma":[0.000570224,0.0003256988,0.0002681235,0.0003631141,0.0000712313,0.0001424787,0.0004106649,0.9708655,0.02631683,0.0004630813,0.0001105012,0.00009257944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521657,0.0006107824,0.04654567,0.00002929353,0.0003569898,0.0001278521,0.0000129581,0.000008502858,0.0001422445],"genre_scores_gemma":[0.9937052,0.0004601709,0.005716031,0.000002863519,0.00005167463,0.000001463981,0.00000304324,0.00001771526,0.00004182552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1499603,"threshold_uncertainty_score":0.3413897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007525468871768713,"score_gpt":0.2158889564131114,"score_spread":0.2083634875413427,"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."}}