{"id":"W1480670195","doi":"10.1007/11666806_62","title":"A Fictitious Domain Method for Particle Sedimentation","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lagrange multiplier; Fictitious domain method; Domain (mathematical analysis); Multiplier (economics); Mathematics; Applied mathematics; Mathematical optimization; Mathematical analysis; Computer science","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":[0.0002277756,0.0001972356,0.0001952121,0.0001308212,0.0000726748,0.00008862765,0.0002116221,0.0001281167,0.000007226494],"category_scores_gemma":[0.000005892799,0.0001988574,0.00006222088,0.0001244711,0.00008035537,0.00009128787,0.00004235539,0.000165478,0.000005744396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818433,"about_ca_system_score_gemma":0.00003855963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001390228,"about_ca_topic_score_gemma":0.00009161553,"domain_scores_codex":[0.9989914,0.000004852677,0.000213886,0.000327994,0.0001986516,0.0002632405],"domain_scores_gemma":[0.9995005,0.0001524694,0.0000348282,0.0002232926,0.00004299833,0.00004591899],"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":[0.000003555869,0.000006607511,0.00001854765,0.00003534756,0.000007295725,0.000006541773,0.000217302,0.912636,0.001733099,0.00370255,0.0002137291,0.08141937],"study_design_scores_gemma":[0.000188292,0.00004242366,0.00002781722,0.00003696846,0.000007326409,0.000007770675,8.938857e-8,0.9573346,0.001675883,0.03855348,0.001898514,0.0002268449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000816031,0.0001867854,0.996607,0.00006182995,0.000770919,0.0002842329,0.00002135208,0.0001160046,0.001135838],"genre_scores_gemma":[0.1032734,0.00001450691,0.895568,0.0003145016,0.000523118,0.00002591286,0.00003479694,0.00005802853,0.0001878249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1024573,"threshold_uncertainty_score":0.8109171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007817462913240794,"score_gpt":0.244336943001085,"score_spread":0.2365194800878443,"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."}}