{"id":"W2884476732","doi":"10.1109/jsen.2018.2857621","title":"Autonomous Recalibration of Star Trackers","year":2018,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Star tracker; Calibration; Computer science; BitTorrent tracker; Orbit (dynamics); Star (game theory); Field of view; Remote sensing; Aerospace engineering; Artificial intelligence; Engineering; Physics; Spacecraft; Eye tracking; Astrophysics","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":[0.0001273707,0.00007917258,0.0001066038,0.00008083666,0.00006500175,0.00002358607,0.00005896959,0.00006536511,0.0001513306],"category_scores_gemma":[0.00001406133,0.0000741019,0.00005516039,0.0001151727,0.00004537529,0.0001743058,0.000001749366,0.000157389,0.00004553546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000468646,"about_ca_system_score_gemma":0.0000136331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006769704,"about_ca_topic_score_gemma":0.000004706543,"domain_scores_codex":[0.999359,0.00002924404,0.000267095,0.00005556039,0.000140764,0.0001483258],"domain_scores_gemma":[0.9996815,0.00001676392,0.0000585558,0.00007717848,0.00009994209,0.00006604578],"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":[0.00009592812,0.00003489068,0.000246411,0.00003631295,0.00009660771,0.00002746812,0.002809516,0.05652248,0.9079823,0.000127021,0.01483857,0.01718252],"study_design_scores_gemma":[0.0004250111,0.0001790767,0.00138937,0.00004077779,0.00002483386,0.0001762935,0.0001043507,0.1180947,0.8730223,0.0003047886,0.006058606,0.000179937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930326,0.00003513253,0.002431528,0.00004884703,0.001294201,0.00004331914,0.000003930305,0.00007070237,0.003039786],"genre_scores_gemma":[0.9975786,0.00003058514,0.00128722,0.00001817896,0.0009564405,2.843865e-7,0.000001628942,0.00001925028,0.0001078436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06157218,"threshold_uncertainty_score":0.3021788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108950877843457,"score_gpt":0.2245782717919071,"score_spread":0.2134887630134726,"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."}}