{"id":"W2752340050","doi":"10.1017/jfm.2017.476","title":"Taylor’s swimming sheet in a yield-stress fluid","year":2017,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mechanics; Bingham plastic; Yield (engineering); Amplitude; Newtonian fluid; Physics; Wavelength; Stress (linguistics); Viscosity; Non-Newtonian fluid; Classical mechanics; Rheology; Optics; Thermodynamics","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":[0.0004304654,0.0001542944,0.0003398834,0.0001193743,0.0001752257,0.0001383281,0.0005567288,0.00006862687,0.000242246],"category_scores_gemma":[0.00005884713,0.0001360689,0.00018805,0.00005531334,0.00001347853,0.0003161263,0.0001140808,0.0003272588,0.00001952294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004057083,"about_ca_system_score_gemma":0.0001034244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000699114,"about_ca_topic_score_gemma":0.0000151783,"domain_scores_codex":[0.9988403,0.00002551638,0.0005084338,0.0001250498,0.0002206945,0.0002799588],"domain_scores_gemma":[0.9988051,0.00004595601,0.0005149599,0.0003787073,0.0001364268,0.0001188664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003775799,0.001424858,0.02913688,0.000128059,0.0005048809,0.0004371965,0.0024565,0.004328931,0.7751083,0.1039667,0.008576533,0.07355349],"study_design_scores_gemma":[0.009383021,0.001229106,0.004300485,0.00233373,0.0004932214,0.0001822564,0.003754939,0.06101188,0.8461718,0.05024616,0.01895275,0.001940647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792543,0.0007369827,0.111126,0.0009098203,0.002987429,0.0002400351,0.00004838571,0.0000130986,0.004683947],"genre_scores_gemma":[0.9975091,0.00004817882,0.001483626,0.00004717277,0.000693724,0.000001188715,0.000001841705,0.0000194953,0.0001956873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1182547,"threshold_uncertainty_score":0.5548727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930007874621573,"score_gpt":0.2573898351141002,"score_spread":0.2380897563678845,"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."}}