{"id":"W2924240845","doi":"10.5194/gi-8-187-2019","title":"In situ calibration of offsetting magnetometer feedback transients on the Cassiope spacecraft","year":2019,"lang":"en","type":"article","venue":"Geoscientific instrumentation, methods and data systems","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Space Agency; European Space Agency; University of Iowa","keywords":"Spacecraft; Magnetometer; Fluxgate compass; Calibration; Transient (computer programming); Computer science; Remote sensing; Aerospace engineering; Simulation; Physics; Engineering; Magnetic field; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563872,0.0001405749,0.0002136648,0.00006438162,0.0001162049,0.0001759081,0.000292993,0.00004054385,0.0004541925],"category_scores_gemma":[0.00001368411,0.0001021518,0.00003098427,0.0003485723,0.00006418791,0.0005641307,0.00009942974,0.0001070788,0.00001570839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001552714,"about_ca_system_score_gemma":0.00004735574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383369,"about_ca_topic_score_gemma":0.00005644823,"domain_scores_codex":[0.998334,0.0003584162,0.0004441358,0.0004361227,0.000222843,0.0002044635],"domain_scores_gemma":[0.9988712,0.000172188,0.0002216298,0.0006444991,0.00004919524,0.00004126825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002670242,0.0008953027,0.2456807,0.0009890904,0.0002935778,0.000003669294,0.01064003,0.001742553,0.2231916,0.1704138,0.02537082,0.3205118],"study_design_scores_gemma":[0.007250343,0.0006672931,0.04630679,0.0009034897,0.0002225823,0.00001507667,0.06279548,0.7537634,0.0290314,0.0051547,0.09209643,0.001792977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455768,0.00004339513,0.04735989,0.0002238943,0.001944028,0.0007473089,0.000435556,0.000008755405,0.003660321],"genre_scores_gemma":[0.986387,0.000003469926,0.009831995,0.00005772336,0.0000698068,0.00002049258,0.0006842962,0.00001305714,0.00293223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7520209,"threshold_uncertainty_score":0.4973089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327015147437779,"score_gpt":0.3138429338031571,"score_spread":0.2905727823287793,"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."}}