{"id":"W4396853131","doi":"10.1109/aero58975.2024.10521128","title":"Multiple Star Trackers: Processing, Pitfalls, and Performance","year":2024,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"BitTorrent tracker; Spacecraft; Computer science; Star tracker; Star (game theory); Key (lock); Real-time computing; Aerospace engineering; Artificial intelligence; Engineering; Eye tracking; Computer security","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":[0.004769492,0.0006939559,0.0006612398,0.0007553091,0.0009752863,0.002389351,0.001212197,0.001472377,0.002366603],"category_scores_gemma":[0.01238979,0.0004968326,0.0003778596,0.001509312,0.0008774912,0.004140679,0.001350033,0.001282638,0.001341638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008265557,"about_ca_system_score_gemma":0.0009742958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00265687,"about_ca_topic_score_gemma":0.003137169,"domain_scores_codex":[0.9971113,0.0005896023,0.0001687597,0.0004266558,0.001462106,0.0002414288],"domain_scores_gemma":[0.9935546,0.002684487,0.000463857,0.001043478,0.002079086,0.0001745935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001444398,0.0001947588,0.03414748,0.0008720714,0.0001969419,0.0008461972,0.001578867,0.09252745,0.1026632,0.03086659,0.009109092,0.7255529],"study_design_scores_gemma":[0.0001402791,0.002183266,0.02070915,0.0003564455,0.0001823421,0.005420364,0.001413186,0.6651115,0.2131996,0.03839784,0.05263387,0.0002522891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1593409,0.005303444,0.818714,0.002971498,0.000352183,0.0001414001,0.0001435125,0.002513591,0.01051957],"genre_scores_gemma":[0.6961983,0.001753854,0.2967274,0.000398039,0.000222406,0.00007984311,0.0002644353,0.0003345209,0.004021259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004769492,"threshold_uncertainty_score":0.02522379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006833015660748631,"score_gpt":0.1969779134116167,"score_spread":0.1901448977508681,"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."}}