{"id":"W1977895008","doi":"10.1063/1.4913183","title":"An adaptive extended finite element method for the analysis of agglomeration of colloidal particles in a flowing fluid","year":2015,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Finite element method; Mechanics; Suspension (topology); Materials science; Polygon mesh; Particle (ecology); Fluid dynamics; Discrete element method; Shear flow; Nanoparticle; Complex fluid; Shear (geology); Flow (mathematics); Nanotechnology; Physics; Composite material; Geometry; Mathematics; 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":[0.0006981364,0.0001079985,0.0003032957,0.0001907348,0.00003279855,0.00002771689,0.0001231246,0.00003776149,0.000006261486],"category_scores_gemma":[0.0002206569,0.00008643753,0.00006172321,0.0006592268,0.00003462725,0.0002754755,0.00002410984,0.00005082244,4.644355e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004917823,"about_ca_system_score_gemma":0.00003513899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000520637,"about_ca_topic_score_gemma":0.00009904166,"domain_scores_codex":[0.9991019,0.00001257564,0.0003825708,0.0001437766,0.0002055618,0.0001536461],"domain_scores_gemma":[0.9989383,0.0002509899,0.00007110192,0.0000857237,0.00061357,0.00004037579],"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":[0.0004051681,0.0001751215,0.05290071,0.0001740476,0.0023219,4.284515e-7,0.06876359,0.6054146,0.2368009,0.01544364,0.0001344531,0.01746541],"study_design_scores_gemma":[0.0004530514,0.0001218054,0.01683811,0.00002044732,0.0003690646,7.927763e-8,0.007969016,0.9545857,0.01882881,0.000685724,0.00003740152,0.00009073125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5879653,0.000128331,0.4111742,0.00008214112,0.00003564952,0.0003860032,0.00001736671,0.00004259813,0.0001684754],"genre_scores_gemma":[0.983511,0.00001390203,0.01631944,0.00001570511,0.00001606108,0.0001041795,0.000004417799,0.000009802743,0.000005491571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3955458,"threshold_uncertainty_score":0.352482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06432846008668183,"score_gpt":0.321000933600512,"score_spread":0.2566724735138302,"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."}}