{"id":"W4408257322","doi":"10.1007/978-981-96-2440-9_31","title":"NAT: IoT and Bigdata Based Data Ingestion Architecture for Space Electric Propulsion-Example from the Pulsed Plasma Thruster","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Electrically powered spacecraft propulsion; Big data; Architecture; Aerospace engineering; Plasma; Propulsion; Space (punctuation); Computer science; Electrical engineering; Physics; Engineering; Operating system; Nuclear physics; Geography","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":[0.0001657217,0.0006247472,0.0005470589,0.0003691813,0.0001046762,0.0001121465,0.0007640249,0.0006295369,0.00001146433],"category_scores_gemma":[0.0009454158,0.0004937514,0.00008468279,0.0003881472,0.00002606634,0.00004406026,0.0001532407,0.001551668,0.000003297692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168918,"about_ca_system_score_gemma":0.00008825737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007382327,"about_ca_topic_score_gemma":0.0002610285,"domain_scores_codex":[0.9980499,0.00001191519,0.0004105082,0.0007496781,0.0002413329,0.0005366879],"domain_scores_gemma":[0.9940138,0.004782151,0.00006922839,0.0009916853,0.00004528045,0.00009784129],"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":[0.00007967904,0.00003393766,0.00001991083,0.0002734734,0.0002240483,0.00001184949,0.00005254843,0.7731874,0.003288955,0.00570187,0.002471528,0.2146548],"study_design_scores_gemma":[0.0005171361,0.0000372502,0.00004273651,0.0003149357,0.0001415525,0.000005018378,1.676436e-7,0.9103824,0.00304157,0.00545272,0.07954935,0.0005151163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001590825,0.005036266,0.9854107,0.00229469,0.0003993465,0.002301438,0.001353838,0.0005408078,0.001072126],"genre_scores_gemma":[0.8698121,0.002251616,0.1101814,0.001121709,0.002434406,0.001072451,0.01125537,0.0008610033,0.001010016],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8752293,"threshold_uncertainty_score":0.9997514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152994574915511,"score_gpt":0.2125748024470347,"score_spread":0.1972753449554836,"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."}}