{"id":"W4397008821","doi":"10.1016/j.jnnfm.2024.105261","title":"On the use of sinusoidal vibrations for disaggregating clusters of non-settling inertial particles immersed in yield-stress fluids","year":2024,"lang":"en","type":"article","venue":"Journal of Non-Newtonian Fluid Mechanics","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Iran National Science Foundation","keywords":"Settling; Yield (engineering); Inertial frame of reference; Vibration; Mechanics; Stress (linguistics); Classical mechanics; Materials science; Physics; Acoustics; Composite material; 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":[0.0007217326,0.0002369184,0.0004301453,0.0003172748,0.00006196033,0.00009010729,0.0003395873,0.0001411112,0.00001163154],"category_scores_gemma":[0.0006072803,0.0001920977,0.0002733477,0.000505816,0.00004460675,0.0004152693,0.00005451462,0.0004227294,0.000002310932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608323,"about_ca_system_score_gemma":0.0001246108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001452985,"about_ca_topic_score_gemma":0.00005455851,"domain_scores_codex":[0.9978306,0.00005260449,0.001194546,0.0001686458,0.0003878022,0.0003658232],"domain_scores_gemma":[0.9979588,0.001296812,0.0001880795,0.0002952803,0.0001563773,0.0001046737],"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":[0.00008239133,0.0000588748,0.00004606107,0.0001763346,0.0001065974,0.00001543092,0.001060216,0.3766974,0.6181813,0.001470704,0.0003316316,0.001773052],"study_design_scores_gemma":[0.0004809684,0.0002182549,0.0000499594,0.001249922,0.00006628672,0.00001406442,0.0002905398,0.8243563,0.1727178,0.0003758362,0.00003355862,0.0001464745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.804309,0.0001448154,0.1939545,0.0003421498,0.0008311409,0.0002979109,0.00008160623,0.00002321944,0.00001576846],"genre_scores_gemma":[0.986018,0.00007201992,0.01359933,0.00005413252,0.0001595784,0.00001707078,0.00000359661,0.00006799649,0.00000825297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4476589,"threshold_uncertainty_score":0.7833515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03200087120808548,"score_gpt":0.2556336471905256,"score_spread":0.2236327759824401,"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."}}