{"id":"W4226341361","doi":"10.5194/egusphere-2022-59","title":"In-Situ Calibration of the Swarm-Echo Magnetometers","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"European Space Agency","keywords":"Magnetometer; Calibration; Swarm behaviour; Remote sensing; Echo (communications protocol); Computer science; Data set; Physics; Satellite; Magnetic field; Environmental science; Geology; Astronomy; Artificial intelligence","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":[0.001071957,0.0005244986,0.0003144269,0.0007046799,0.0003309718,0.0005592678,0.0005739587,0.0004623591,0.001503088],"category_scores_gemma":[0.002097736,0.0001957316,0.0002109038,0.0007104456,0.0002225458,0.0003808523,0.0005317179,0.0006418307,0.0009344723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004869347,"about_ca_system_score_gemma":0.0003677115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003788987,"about_ca_topic_score_gemma":0.005668543,"domain_scores_codex":[0.9993419,0.00009929595,0.00003761259,0.0001968595,0.0002650087,0.00005920712],"domain_scores_gemma":[0.9991046,0.0001298255,0.0001014876,0.0002339876,0.0003848147,0.00004535858],"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":[0.001418906,0.0003956406,0.2679391,0.0006026313,0.0004950784,0.0006630311,0.001740132,0.101937,0.3913976,0.004288931,0.03797199,0.19115],"study_design_scores_gemma":[0.0002959738,0.0004148861,0.3344131,0.00009435265,0.0002006951,0.0005107651,0.0004907518,0.2801486,0.2952764,0.002398406,0.08561897,0.0001371177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676946,0.0002561244,0.0879342,0.0004660488,0.0004306886,0.0001912809,0.01565616,0.00483464,0.02253627],"genre_scores_gemma":[0.9570254,0.00006594956,0.03339933,0.00007732132,0.00004637379,0.00009959596,0.006185803,0.000385587,0.002714638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003788987,"threshold_uncertainty_score":0.007533848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109145916880939,"score_gpt":0.2413080030616221,"score_spread":0.2303934113735282,"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."}}