{"id":"W4303415330","doi":"10.1007/s44205-022-00015-w","title":"Comparison of computational algorithms for simulating an electrospray plume with a n-body approach","year":2022,"lang":"en","type":"article","venue":"Journal of Electric Propulsion","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Nuclear Safety and Security Commission; New York Space Grant Consortium; National Aeronautics and Space Administration","keywords":"Algorithm; Computation; Context (archaeology); Computer science; Electrospray; Simulation; Ion; Physics","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":[0.000466209,0.000160788,0.0004110672,0.0003391182,0.0001780144,0.0000229808,0.0002429359,0.00004829282,0.00000423854],"category_scores_gemma":[0.00002050403,0.0001398448,0.0001025897,0.000656992,0.00001293471,0.0001632402,0.0000201379,0.0005117058,8.608127e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738089,"about_ca_system_score_gemma":0.0001137877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003143643,"about_ca_topic_score_gemma":8.830525e-7,"domain_scores_codex":[0.9983478,0.00005318638,0.0006319692,0.0001386595,0.0005195862,0.0003087622],"domain_scores_gemma":[0.9991053,0.00008720261,0.0003814806,0.0001086768,0.0002405014,0.00007684304],"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":[0.0002095425,0.0003103933,0.0008134415,0.00005380329,0.00008557321,0.000002761382,0.0001769731,0.9143859,0.07442881,0.0004256855,0.00005110195,0.009056051],"study_design_scores_gemma":[0.0009960507,0.003991155,0.0004535405,0.0000114844,0.00005686792,0.000143587,0.00004624538,0.9905819,0.002351329,0.001137371,0.00006137869,0.0001691069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5964814,0.0003953169,0.402721,0.00001538178,0.00006425662,0.000236132,0.00000690747,0.00002605978,0.00005357183],"genre_scores_gemma":[0.951862,0.000009806654,0.0479016,0.000009911778,0.00008949254,0.0000161135,0.00005080364,0.00004690743,0.00001335203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3553806,"threshold_uncertainty_score":0.5702704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278766298067374,"score_gpt":0.2697061643143307,"score_spread":0.256918501333657,"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."}}