{"id":"W2901606346","doi":"10.1109/ahs.2018.8541473","title":"High Performance Space Computing with System-on-Chip Instrument Avionics for Space-based Next Generation Imaging Spectrometers (NGIS)","year":2018,"lang":"en","type":"article","venue":"","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Field-programmable gate array; Embedded system; Computer science; Computer hardware; Avionics; System on a chip; Chip; Space exploration; Jet propulsion; Computer architecture; Engineering; Aerospace engineering; Telecommunications","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":[0.0004694573,0.0005346473,0.0002988962,0.0004510818,0.0005491381,0.001374333,0.0007629364,0.0004049747,0.009931124],"category_scores_gemma":[0.000781152,0.0001830453,0.0003001327,0.000869384,0.0004563822,0.0009010578,0.001072911,0.0009357664,0.002632882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009480033,"about_ca_system_score_gemma":0.001514605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002798866,"about_ca_topic_score_gemma":0.003588931,"domain_scores_codex":[0.9995295,0.00006320904,0.0000190453,0.00006220084,0.0002522182,0.00007380814],"domain_scores_gemma":[0.9996415,0.00004695719,0.00002376835,0.00008697219,0.0001380633,0.00006264593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008928282,0.000307674,0.007753938,0.0006206792,0.0001587846,0.0004644817,0.0007116332,0.02306408,0.1627929,0.09706442,0.1454756,0.5606929],"study_design_scores_gemma":[0.0002668084,0.001420837,0.008613489,0.0001755989,0.0001399387,0.0006557378,0.0002272226,0.2685041,0.1159879,0.01815367,0.5857276,0.0001270587],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1345752,0.006018632,0.6959859,0.003206993,0.001085519,0.0008628197,0.001757405,0.02870573,0.1278019],"genre_scores_gemma":[0.5680296,0.002713539,0.3910732,0.001109689,0.0003790499,0.0004748928,0.003595383,0.0008137008,0.03181089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009931124,"threshold_uncertainty_score":0.03322291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184931323569084,"score_gpt":0.2482985327077406,"score_spread":0.2264492194720498,"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."}}