{"id":"W3004008206","doi":"","title":"Jeffery orbits in shear-thinning fluids","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Shear thinning; Newtonian fluid; Mechanics; Shear flow; Shear (geology); Physics; Generalized Newtonian fluid; Non-Newtonian fluid; Shear rate; Rheology; Classical mechanics; Particle (ecology); Materials science; Geology; Thermodynamics; Composite material","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":[0.0003688364,0.0003411495,0.0003224089,0.0009682637,0.0007177876,0.0006868309,0.0002786448,0.0004395083,0.0007080319],"category_scores_gemma":[0.001384971,0.0002002417,0.0002908721,0.0003149276,0.001340362,0.000827475,0.0005600866,0.0003172292,0.0001334849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008162766,"about_ca_system_score_gemma":0.0005326546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082161,"about_ca_topic_score_gemma":0.001246316,"domain_scores_codex":[0.9999051,0.00002228238,0.000005356453,0.00001371546,0.00002677928,0.00002665504],"domain_scores_gemma":[0.9997138,0.0000644493,0.0000978778,0.00002045273,0.00003163322,0.00007183164],"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":[0.0005019234,0.0001164494,0.009428834,0.0001558072,0.00005555923,0.001572845,0.001442455,0.554704,0.07168608,0.344206,0.0009071361,0.01522291],"study_design_scores_gemma":[0.00004489542,0.0001383767,0.0024421,0.00002390721,0.00001397163,0.000247667,0.0001692953,0.9396321,0.00681073,0.04898312,0.001451493,0.00004237548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967333,0.0004199378,0.02663218,0.00009303174,0.00003082507,0.00002005505,0.00002166723,0.00005754468,0.00539189],"genre_scores_gemma":[0.9931356,0.0001937409,0.005512137,0.00002152754,0.00001161351,0.00001137586,0.00002464497,0.00002070631,0.001068734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003082161,"threshold_uncertainty_score":0.00612843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688685054020763,"score_gpt":0.1590937798317933,"score_spread":0.1222069292915857,"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."}}