{"id":"W6931639003","doi":"10.5281/zenodo.8347700","title":"Design and Construction of a Magnetic Field Simulator for CubeSat Attitude Control Testing","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"CubeSat; Attitude control; Magnetic field; Orbit (dynamics); Control system; Field (mathematics); System testing; Control (management)","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":[0.0004459709,0.0005571892,0.0004122177,0.0005092747,0.0002368899,0.0004058283,0.001092711,0.0003701221,0.003676444],"category_scores_gemma":[0.0009535704,0.0003151438,0.0002314828,0.0002098987,0.0003242374,0.0004136916,0.0005905278,0.0004503414,0.001137976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004053538,"about_ca_system_score_gemma":0.001118491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009185314,"about_ca_topic_score_gemma":0.0007085672,"domain_scores_codex":[0.9996847,0.00004618535,0.00001716062,0.0000406447,0.0001843649,0.00002699126],"domain_scores_gemma":[0.9994364,0.0001229367,0.00006118515,0.00008000333,0.0002195415,0.00007983641],"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":[0.000671416,0.000346843,0.008993965,0.0006262867,0.0001388551,0.0006294654,0.0007008743,0.2434672,0.537274,0.01351269,0.006541012,0.1870974],"study_design_scores_gemma":[0.0002293851,0.001424565,0.00511048,0.00006930218,0.00007284705,0.0006288639,0.0001225585,0.6650714,0.2638261,0.002366846,0.06098827,0.00008959409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06867047,0.00009794952,0.9145378,0.0001441099,0.00008841798,0.0009393367,0.0005363044,0.006830357,0.008155287],"genre_scores_gemma":[0.6465845,0.0001931151,0.3423803,0.0001318505,0.00003284683,0.001331825,0.001006426,0.0007500863,0.007589191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003676444,"threshold_uncertainty_score":0.01229894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007619753864528,"score_gpt":0.2101297007621753,"score_spread":0.19005350322353,"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."}}