{"id":"W2324423652","doi":"10.2514/6.2004-3632","title":"3-D Computation of Plasma Thruster Plumes","year":2004,"lang":"en","type":"article","venue":"40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Pacific Railway (Canada)","funders":"","keywords":"Plasma; Computation; Computer science; Aerospace engineering; Physics; Engineering; Algorithm; Nuclear 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001312997,0.0002914699,0.0003855847,0.0001603536,0.0001390484,0.00009724886,0.0001462572,0.0001644253,0.00006539725],"category_scores_gemma":[0.00005470762,0.0002676255,0.00008288046,0.0002113432,0.000117064,0.0002443454,0.00008228829,0.00024926,0.0001234829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005073043,"about_ca_system_score_gemma":0.00007353674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005517764,"about_ca_topic_score_gemma":0.0001191803,"domain_scores_codex":[0.9984715,0.00001972541,0.0005371911,0.0003548517,0.0002694889,0.0003472335],"domain_scores_gemma":[0.9991954,0.00006399235,0.0001224799,0.0002688003,0.0001635772,0.0001857828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001686665,0.00134189,0.003947416,0.002709402,0.0003988073,0.00009728626,0.006091396,0.1588598,0.4107337,0.1124148,0.01131226,0.2919246],"study_design_scores_gemma":[0.01094349,0.001385516,0.09372672,0.003875906,0.0004409543,0.0002430796,0.002641019,0.1944921,0.5824479,0.08569869,0.02071304,0.003391612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888538,0.0001281138,0.005287266,0.0009232769,0.0002076164,0.0004825462,0.00008555585,0.0001952811,0.003836534],"genre_scores_gemma":[0.9950338,0.0003531721,0.004159324,0.00008771742,0.00007737009,0.00007456933,0.00009586669,0.00003629435,0.00008186443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288533,"threshold_uncertainty_score":0.9999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238786956528353,"score_gpt":0.2249454029613316,"score_spread":0.2025575333960481,"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."}}