{"id":"W3208974998","doi":"10.1103/physrevfluids.7.064605","title":"Near-wall lubricating layer in drag-reduced flows of rigid polymers","year":2022,"lang":"en","type":"article","venue":"Physical Review Fluids","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drag; Materials science; Shear thinning; Particle image velocimetry; Viscosity; Mechanics; Turbulence; Parasitic drag; Polymer; Shear (geology); Boundary layer; Composite material; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001669564,0.0003201758,0.0003539754,0.0002896583,0.0003939874,0.0004302836,0.0001811262,0.0002074613,0.0005373271],"category_scores_gemma":[0.0003274819,0.0001516768,0.0001471895,0.0001461566,0.0006481786,0.0003544818,0.0002838179,0.0003943252,0.000102703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334595,"about_ca_system_score_gemma":0.0004079123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008724153,"about_ca_topic_score_gemma":0.0005955992,"domain_scores_codex":[0.9998763,0.00001420252,0.000005178498,0.00002611688,0.00004512531,0.00003306966],"domain_scores_gemma":[0.9998295,0.00004458679,0.00007519541,0.00001063162,0.00001672593,0.00002329447],"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":[0.00007858841,0.0000395518,0.0004007298,0.00003341078,0.000004068356,0.00007239538,0.00006592278,0.001055355,0.9961423,0.0004976094,0.00002640586,0.001583733],"study_design_scores_gemma":[0.00004743007,0.0003519348,0.003141036,0.000008101948,0.00001480914,0.00009362851,0.00005015087,0.01094642,0.984485,0.0002542112,0.000589434,0.00001788078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998369,0.0001072801,0.001099907,0.00001470394,0.000003540068,0.000006747822,0.00001178926,0.00002041391,0.0003665683],"genre_scores_gemma":[0.9980124,0.0001422402,0.001473379,0.00001641938,0.000003393955,0.000007679187,0.0000228615,0.000007691955,0.0003138826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008724153,"threshold_uncertainty_score":0.001797557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411558597345484,"score_gpt":0.277642357405981,"score_spread":0.2635267714325262,"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."}}