{"id":"W2332912707","doi":"10.2514/6.2014-4418","title":"Improved Star Tracker Calibration Observability","year":2014,"lang":"en","type":"article","venue":"AIAA/AAS Astrodynamics Specialist Conference","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Observability; Calibration; Star (game theory); Computer science; Star tracker; Artificial intelligence; Physics; Mathematics; Astronomy; Astrophysics; Applied mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000204381,0.0002546387,0.0002629061,0.0000500963,0.0001069677,0.000142391,0.0002237301,0.0001538421,0.0002266141],"category_scores_gemma":[0.00008261407,0.000269707,0.00007858983,0.0001741095,0.00008619586,0.0003456564,0.00002892383,0.0002672239,0.00003180097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442344,"about_ca_system_score_gemma":0.00003524169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001897605,"about_ca_topic_score_gemma":0.001342511,"domain_scores_codex":[0.998634,0.00006805036,0.0004044863,0.0003128815,0.0002150727,0.0003655324],"domain_scores_gemma":[0.9991972,0.00005402222,0.00006749997,0.0004091314,0.0001492333,0.0001228528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002661681,0.0003165446,0.01448053,0.0004364319,0.0001720124,0.000009891955,0.001580513,0.04873152,0.4734278,0.3256654,0.001617023,0.1332962],"study_design_scores_gemma":[0.0003741088,0.0000893121,0.02231105,0.00001803677,0.0000212808,0.000001807129,0.00004504555,0.968861,0.003568105,0.002006924,0.002356522,0.00034678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390787,0.000008612311,0.1525025,0.0001990152,0.0009922499,0.000271119,0.00007378053,0.0003956661,0.006478381],"genre_scores_gemma":[0.9962105,0.00001221617,0.002601304,0.00005421169,0.0006827694,0.0000160111,0.0002484811,0.0000405635,0.0001339239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9201295,"threshold_uncertainty_score":0.9999755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009833769103917037,"score_gpt":0.2026553679919617,"score_spread":0.1928215988880447,"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."}}