{"id":"W4322756019","doi":"","title":"A conservative finite volume cut-cell method on an adaptive Cartesian tree grid for moving rigid bodies in incompressible flows","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Regular grid; Cartesian coordinate system; Finite volume method; Compressibility; Grid; Geometry; Volume of fluid method; Tree (set theory); Unstructured grid; Mathematics; Mechanics; Volume (thermodynamics); Grid cell; Computer science; Classical mechanics; Geology; Physics; Mathematical analysis; Flow (mathematics)","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004874811,0.0004938979,0.000659336,0.0006340806,0.0003838154,0.001176808,0.00253994,0.0003282174,0.00001401329],"category_scores_gemma":[0.0005815011,0.0005565198,0.0002928797,0.0007217888,0.000112761,0.0004993582,0.002332149,0.0007131487,0.000002849802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529087,"about_ca_system_score_gemma":0.0005440898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967709,"about_ca_topic_score_gemma":0.009063805,"domain_scores_codex":[0.9906285,0.006220743,0.0007642796,0.001473799,0.0004539008,0.0004587891],"domain_scores_gemma":[0.9913355,0.002645476,0.000660305,0.002625419,0.002533837,0.0001994722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008196536,0.003588855,0.003557704,0.0006571704,0.000211117,0.00004568332,0.08667833,0.003818171,0.001462508,0.7913815,0.002469527,0.1060475],"study_design_scores_gemma":[0.0005314841,0.000006596432,0.00135284,0.00160518,0.00001799192,0.000002542672,0.0001819146,0.9441602,0.03446743,0.01448789,0.002618332,0.000567661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01045897,0.0003835294,0.9809508,0.001704943,0.0003049864,0.0009224782,0.0001069569,0.0004461891,0.004721134],"genre_scores_gemma":[0.2679816,0.0002149584,0.7294496,0.0003318818,0.00003990665,0.0004356491,0.0005263845,0.00005421014,0.0009657661],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9403419,"threshold_uncertainty_score":0.99986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803835123385983,"score_gpt":0.2852495566152767,"score_spread":0.2572112053814169,"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."}}