{"id":"W4408697246","doi":"10.1117/12.3061924","title":"Star tracker algorithm improvements to restore performance after radiation exposure","year":2025,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Star (game theory); Star tracker; Algorithm; Artificial intelligence; Physics; Astronomy; Astrophysics","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":[0.002258298,0.0008097123,0.0007410191,0.001144645,0.0007182447,0.002225994,0.001661368,0.001246069,0.008066461],"category_scores_gemma":[0.005883506,0.0004286839,0.0007828719,0.00084583,0.0003230565,0.001808296,0.001010165,0.001527313,0.006061899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178632,"about_ca_system_score_gemma":0.001195357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199475,"about_ca_topic_score_gemma":0.002827205,"domain_scores_codex":[0.9979318,0.0001303613,0.0001466032,0.0003901445,0.001265546,0.0001356257],"domain_scores_gemma":[0.9962596,0.0003671304,0.0001816135,0.000471611,0.002606354,0.0001137448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001136465,0.0003510568,0.01055795,0.0005843161,0.0002453157,0.0005561875,0.0008793878,0.03499857,0.2614529,0.008539563,0.03125368,0.6494445],"study_design_scores_gemma":[0.0002115531,0.001277328,0.01426676,0.0001357696,0.0003113427,0.00168779,0.0002032397,0.4473774,0.3492499,0.003787914,0.1812662,0.0002247201],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04146764,0.0007316023,0.9257865,0.0004874196,0.0008698347,0.0002212329,0.0002610554,0.01965083,0.01052388],"genre_scores_gemma":[0.2370826,0.0007013546,0.7295728,0.0007291014,0.0001947383,0.0002367825,0.00181005,0.003113901,0.02655874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008066461,"threshold_uncertainty_score":0.02698505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002769419619393376,"score_gpt":0.1989543265002783,"score_spread":0.1961849068808849,"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."}}