{"id":"W4311953609","doi":"10.1186/s40623-022-01736-w","title":"Swarm Thermal Ion Imager measurement performance","year":2022,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Space Agency; European Space Agency","keywords":"Swarm behaviour; Computer science; Spacecraft; Satellite; Remote sensing; Electric field; Drift velocity; Simulation; Real-time computing; Physics; Aerospace engineering; Artificial intelligence; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001316191,0.0004402699,0.000328319,0.0003520672,0.0002051616,0.0005678418,0.0005301996,0.0003309812,0.00169864],"category_scores_gemma":[0.003667878,0.0001318372,0.0002216414,0.0003553465,0.000254751,0.0007073747,0.0005509426,0.0003610178,0.0005617756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004241932,"about_ca_system_score_gemma":0.0002138557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522535,"about_ca_topic_score_gemma":0.001035116,"domain_scores_codex":[0.9992716,0.0001080247,0.00003262377,0.0001798042,0.0003333993,0.00007449582],"domain_scores_gemma":[0.9986256,0.0003868291,0.0001515549,0.0002978295,0.0004888377,0.00004934299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0040444,0.0004632699,0.1218241,0.0003544856,0.0003068474,0.0003933254,0.0009069658,0.34766,0.2895705,0.002053208,0.004692387,0.2277307],"study_design_scores_gemma":[0.00009979832,0.002731766,0.09756375,0.00002412495,0.0000733197,0.0002531493,0.0002817163,0.6288713,0.2661305,0.0005454523,0.003341965,0.00008320819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724181,0.0000946704,0.02304557,0.00007133745,0.00001586983,0.00003980915,0.0003725338,0.001294137,0.002647959],"genre_scores_gemma":[0.9924049,0.00002084787,0.006581297,0.0000128677,0.000003343117,0.00001493542,0.0004480158,0.00005845106,0.0004554153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00169864,"threshold_uncertainty_score":0.00696075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006745566540473343,"score_gpt":0.174700149787916,"score_spread":0.1679545832474426,"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."}}