{"id":"W4391679061","doi":"10.1016/j.jnnfm.2024.105196","title":"Mixing in heterogeneous fluids: An examination of fluid property variations","year":2024,"lang":"en","type":"article","venue":"Journal of Non-Newtonian Fluid Mechanics","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Mixing (physics); Homogenization (climate); Rheology; Buoyancy; Context (archaeology); Mechanics; Fluid dynamics; Advection; Parameter space; Mathematics; Statistical physics; Materials science; Thermodynamics; Physics; Geology; Statistics","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":[0.0002863,0.0002307906,0.0002480165,0.00127289,0.0003105004,0.0006032478,0.0002577519,0.0003909546,0.001035747],"category_scores_gemma":[0.0009406995,0.0001657917,0.0002393667,0.0007991985,0.0004862241,0.0007530022,0.0003519907,0.0003980598,0.0001011044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679814,"about_ca_system_score_gemma":0.0001108615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004763065,"about_ca_topic_score_gemma":0.0002764585,"domain_scores_codex":[0.9998965,0.0000135578,0.000006350605,0.0000239971,0.00004347572,0.00001608372],"domain_scores_gemma":[0.9996101,0.0001896255,0.00008096632,0.00003323951,0.00006082469,0.00002541036],"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":[0.0007997463,0.0002172996,0.01722591,0.0001286358,0.0000531804,0.0005976106,0.0002479614,0.01225407,0.9264405,0.003056122,0.0001637872,0.03881509],"study_design_scores_gemma":[0.00006916111,0.0008754861,0.1997292,0.00003329129,0.0001394197,0.001251191,0.0005011266,0.3021852,0.4874653,0.003456382,0.00419914,0.00009512238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798855,0.0007759552,0.01339707,0.00008045633,0.0000167876,0.00003957241,0.00007931873,0.0001385991,0.005586625],"genre_scores_gemma":[0.9983064,0.0001553205,0.001202841,0.000009821145,0.000008298896,0.00000540857,0.00002581299,0.00001538886,0.0002707531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00127289,"threshold_uncertainty_score":0.003464937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009767670823463016,"score_gpt":0.2222605831403944,"score_spread":0.2124929123169313,"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."}}