{"id":"W4385297473","doi":"10.32920/23796126","title":"Autonomous Recalibration of Star Trackers","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Star tracker; Calibration; Computer science; BitTorrent tracker; Orbit (dynamics); Star (game theory); Field of view; Orbit determination; Remote sensing; Interplanetary spaceflight; Residual; Aerospace engineering; Artificial intelligence; Physics; Algorithm; Spacecraft; Engineering; Eye tracking; Astrophysics; Global Positioning System; Geography; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006294634,0.00009907034,0.0001419928,0.00006884222,0.000008771299,0.00001249547,0.00007057279,0.0001821798,0.00007695131],"category_scores_gemma":[0.000009078442,0.0001010813,0.00006154485,0.00006893787,0.000009410809,0.00003905428,0.00002983435,0.0001731071,0.0000497119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004391601,"about_ca_system_score_gemma":0.00001431549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657302,"about_ca_topic_score_gemma":0.00003504987,"domain_scores_codex":[0.9994712,0.00001002088,0.0002340074,0.0001053597,0.00009241724,0.00008692647],"domain_scores_gemma":[0.9997444,0.00001826469,0.00003111636,0.0001578497,0.00002579261,0.00002255786],"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":[0.00001225717,0.00001516053,0.00009710034,0.0007408662,0.0001061152,0.000004150845,0.0007385525,0.9574849,0.02145243,0.001377606,0.00910268,0.008868188],"study_design_scores_gemma":[0.000144735,0.00002250863,0.002347018,0.000108487,0.00003654987,5.283825e-7,0.00006084281,0.8450126,0.1478066,0.002924721,0.001219026,0.0003163536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492942,0.0001122827,0.02568593,0.0002047021,0.002940434,0.0004818428,0.00009098632,0.002343945,0.01884565],"genre_scores_gemma":[0.9968,0.00006277057,0.001975694,0.000006935752,0.0001275644,0.00001115193,0.0002403546,0.00004020841,0.0007353271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1263542,"threshold_uncertainty_score":0.4121974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582507882420955,"score_gpt":0.2372453279333896,"score_spread":0.21142024910918,"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."}}