{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002713957,0.00005152099,0.00003732948,0.00002455927,0.00002320886,0.00004833484,0.00001798957,0.00002679032,0.00003173192],"category_scores_gemma":[0.000002122808,0.00004252675,0.000008671273,0.00006698223,0.000008849503,0.0001853731,0.000003213871,0.00005898894,0.00003800746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001221174,"about_ca_system_score_gemma":0.00000326575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009740602,"about_ca_topic_score_gemma":0.000008979936,"domain_scores_codex":[0.999745,0.000001546336,0.00005995152,0.00006447793,0.00004586898,0.00008316997],"domain_scores_gemma":[0.9999302,0.000007061281,0.000001867522,0.00003064558,0.000007535847,0.00002266842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002800639,0.00002714705,0.005684047,0.002874799,0.0000524934,0.00002120357,0.004170258,0.005609192,0.06803914,0.0009429728,0.007697025,0.9048537],"study_design_scores_gemma":[0.00007296204,0.00001897703,0.004295675,0.00005439882,0.000005376882,0.000004875238,0.00003810373,0.9646307,0.01565477,0.00001817193,0.01511171,0.00009425788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917527,0.001566706,0.0009912059,0.00002811741,0.0001222277,0.00004572637,0.000001403047,0.0004842062,0.0050077],"genre_scores_gemma":[0.9988114,0.0001312821,0.0005599494,0.00001301959,0.00007489634,0.000002868018,0.000004638946,0.00001266686,0.0003893054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9590215,"threshold_uncertainty_score":0.1734191,"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."}}