{"id":"W1531550239","doi":"10.21535/jias.v1i1.125","title":"Design and Construction of a Magnetic Field Simulator for CubeSat Attitude Control Testing","year":2014,"lang":"en","type":"article","venue":"The Journal of Instrumentation Automation and Systems","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Mitacs","keywords":"CubeSat; Attitude control; Simulation; Magnetic field; Orbit (dynamics); Computer science; Field (mathematics); Aerospace engineering; Control system; Engineering; Electrical engineering; Satellite; Physics","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":[0.0005216011,0.00005195436,0.0001192877,0.00005555461,0.0000510023,0.00002603845,0.00002521898,0.00003101838,0.000002017838],"category_scores_gemma":[0.00009311143,0.00003760793,0.00001375309,0.00005026527,0.00001914618,0.0001234903,0.000001730195,0.00003835119,2.478289e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001433029,"about_ca_system_score_gemma":0.000005747474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008525723,"about_ca_topic_score_gemma":4.532811e-7,"domain_scores_codex":[0.9993927,0.00008926194,0.0003483212,0.00002695424,0.00009434086,0.00004835341],"domain_scores_gemma":[0.9991847,0.000449348,0.000192957,0.0000325638,0.000117737,0.00002264658],"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":[0.0002787343,0.00001875476,0.005007992,0.0007600622,0.0001162765,2.463513e-7,0.002658456,0.5415516,0.2708453,0.00261195,0.0001467171,0.1760038],"study_design_scores_gemma":[0.001103347,0.0003185738,0.002202806,0.00009128774,0.00004746973,0.00006220507,0.0002867372,0.988972,0.00670142,0.0001455616,0.00002720306,0.00004139952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6603666,0.00009784727,0.3390589,0.0000394184,0.0001994323,0.0001948462,8.812429e-7,0.00001359198,0.00002847299],"genre_scores_gemma":[0.9960114,0.00001845203,0.003877238,0.00001997047,0.00006146231,0.000002745968,6.875982e-7,0.000005245059,0.00000274305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4474204,"threshold_uncertainty_score":0.1533607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408535306723643,"score_gpt":0.2309729921014284,"score_spread":0.216887639034192,"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."}}