{"id":"W2899184161","doi":"10.1039/c8sm01445k","title":"Polymer margination in uniform shear flows","year":2018,"lang":"en","type":"article","venue":"Soft Matter","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Lattice Boltzmann methods; Shear (geology); Polymer; Materials science; Molecular dynamics; Shear rate; Lattice (music); Mechanics; Chemical physics; Physics; Composite material; Chemistry; Rheology; Computational chemistry","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":[0.0003252811,0.0002847255,0.0003369123,0.0004785326,0.0004288825,0.0008263155,0.0002805095,0.00033895,0.000836602],"category_scores_gemma":[0.001431523,0.0001743044,0.0002513672,0.0002871143,0.0009045627,0.0009268152,0.0005503522,0.0004000135,0.00008639923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005979167,"about_ca_system_score_gemma":0.000515318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002973065,"about_ca_topic_score_gemma":0.001866947,"domain_scores_codex":[0.999892,0.00001394654,0.000007348273,0.00003026003,0.00001502259,0.00004141076],"domain_scores_gemma":[0.9996716,0.0001155306,0.00008911558,0.00003537866,0.0000349845,0.00005339355],"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":[0.0005358411,0.0001911718,0.01119986,0.0001516629,0.000056209,0.0002924087,0.0003146712,0.8697192,0.1027047,0.005983555,0.0002866884,0.008563934],"study_design_scores_gemma":[0.00004834396,0.0002402966,0.006053736,0.00001794326,0.0000273822,0.00004238515,0.00009623986,0.957839,0.03247821,0.002609659,0.0005233212,0.00002356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933602,0.0001117722,0.005570842,0.00004348124,0.000009355807,0.000009762612,0.00005424198,0.00004100632,0.0007993703],"genre_scores_gemma":[0.9982687,0.00009619582,0.001356532,0.00001773797,0.000004069905,0.00001167283,0.00004422648,0.00001124784,0.0001896082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002973065,"threshold_uncertainty_score":0.005911469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009948582480535232,"score_gpt":0.233128274447817,"score_spread":0.2231796919672818,"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."}}