{"id":"W4287180722","doi":"","title":"A Massively Parallel Accurate Conservative Level Set Algorithm for Primary Atomization on Adaptive Unstructured Grids","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Massively parallel; Computer science; Set (abstract data type); Parallel computing; Algorithm; Unstructured grid; Grid; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003825903,0.0004734003,0.0009288003,0.0004107804,0.0007957607,0.0007556868,0.001594379,0.0008878257,0.005391265],"category_scores_gemma":[0.001754865,0.0004069694,0.0005348091,0.0005940738,0.0005250035,0.0004145352,0.001528776,0.001357961,0.001099051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003887044,"about_ca_system_score_gemma":0.0011495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652964,"about_ca_topic_score_gemma":0.003606056,"domain_scores_codex":[0.9997199,0.00004881323,0.00001025786,0.00001879563,0.0001813671,0.00002080897],"domain_scores_gemma":[0.9995702,0.0001370476,0.00002101378,0.00008016787,0.0001438555,0.00004782082],"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":[0.0003372688,0.0002022836,0.001090523,0.0002137776,0.00006717918,0.000363231,0.0002402467,0.705144,0.02556948,0.05660087,0.009297644,0.2008735],"study_design_scores_gemma":[0.00002605685,0.00002829219,0.00008327203,0.000004009652,0.000004199684,0.00002062946,0.000008232963,0.9931377,0.001134907,0.003772744,0.001774739,0.000005281689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02015513,0.00009420897,0.9712732,0.0002164474,0.0002339752,0.0001248925,0.00009358457,0.0008946648,0.006913865],"genre_scores_gemma":[0.2370235,0.0001365515,0.7507502,0.0001848354,0.0001092133,0.0004027242,0.0002803196,0.0005806378,0.01053205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005391265,"threshold_uncertainty_score":0.01803559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409395669262243,"score_gpt":0.2755592399783334,"score_spread":0.2346196730521091,"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."}}