{"id":"W1679872786","doi":"10.1098/rsta.2004.1416","title":"Lattice Boltzmann algorithm for three–dimensional liquid–crystal hydrodynamics","year":2004,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Lattice Boltzmann methods; Liquid crystal; Backflow; Viscoelasticity; Physics; Isotropy; Complex fluid; Shear flow; Boundary value problem; Mechanics; Twist; Classical mechanics; Statistical physics; Optics; 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":[0.000169412,0.0002030165,0.0002999701,0.00002186239,0.0002972936,0.00002875828,0.0002181218,0.00007895938,0.000004554178],"category_scores_gemma":[0.00003346584,0.0001409133,0.0003381108,0.0002652181,0.0004850718,0.0001338875,0.00003018656,0.0002314488,0.000002791589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003988236,"about_ca_system_score_gemma":0.00001703775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003591242,"about_ca_topic_score_gemma":6.795211e-7,"domain_scores_codex":[0.9988858,0.000005842662,0.0002558171,0.0002151622,0.0003575803,0.0002797609],"domain_scores_gemma":[0.9992849,0.0003990182,0.0000299723,0.0001436574,0.00004685488,0.00009557945],"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":[0.000003279312,0.0001071389,7.591025e-7,0.0001775115,0.0000899408,9.503616e-8,0.0002253885,0.9747615,0.0004368197,0.02391809,0.000002932104,0.0002765433],"study_design_scores_gemma":[0.00028455,0.00009138544,0.00004884368,0.00006853727,0.00007679198,0.000002423756,0.00001795397,0.8775213,0.0003686986,0.1213463,0.00001516491,0.0001580325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2134579,0.0001055624,0.7842481,0.001429191,0.000136782,0.0002713911,0.00004112773,0.0001754411,0.0001344645],"genre_scores_gemma":[0.967598,0.000003146221,0.03217638,0.00002095578,0.0001339876,0.00003590975,6.607985e-7,0.00002125451,0.00000976049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.75414,"threshold_uncertainty_score":0.5746276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783885956048567,"score_gpt":0.2386175861998373,"score_spread":0.2207787266393516,"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."}}