{"id":"W1996887150","doi":"10.1017/jfm.2011.259","title":"Stretching of viscous threads at low Reynolds numbers","year":2011,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Inertia; Reynolds number; Thread (computing); Rotational symmetry; Reynolds equation; Mechanics; Surface tension; Classical mechanics; Magnetic Reynolds number; Physics; Mathematics; Computer science; Turbulence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000454754,0.0003325244,0.0004706934,0.0004251812,0.0004673238,0.0008308514,0.0004505169,0.0006012403,0.0009684316],"category_scores_gemma":[0.001877676,0.0002540936,0.00033276,0.0001321223,0.001281445,0.001005344,0.0009691982,0.000528627,0.0001218739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625128,"about_ca_system_score_gemma":0.0001591069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003234812,"about_ca_topic_score_gemma":0.0001789553,"domain_scores_codex":[0.9998734,0.00002850736,0.000006354602,0.00002348651,0.00002971874,0.00003865295],"domain_scores_gemma":[0.9995958,0.0001488649,0.00008922303,0.00003898401,0.000035503,0.00009163467],"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":[0.0008693803,0.0002742863,0.005327693,0.0003226751,0.00008305464,0.002656858,0.001015235,0.4806193,0.3368979,0.1444194,0.0006164429,0.02689778],"study_design_scores_gemma":[0.00008524356,0.0002481303,0.003787241,0.00004131122,0.00001405551,0.000332608,0.0001351433,0.9493407,0.01687542,0.02798318,0.001119111,0.00003781679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618887,0.0004302619,0.03137721,0.0001169808,0.00004287382,0.00002085476,0.00001043859,0.00005549613,0.006057227],"genre_scores_gemma":[0.9954841,0.0001356914,0.002944018,0.00002244279,0.00002644162,0.00001313031,0.000008719005,0.0000162952,0.001349034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009684316,"threshold_uncertainty_score":0.003239691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070439417018273,"score_gpt":0.1931654879689054,"score_spread":0.1824610937987227,"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."}}