{"id":"W2321230340","doi":"10.2514/6.2010-8152","title":"A Focusing Procedure for Nanosatellite Star Trackers","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Star (game theory); BitTorrent tracker; Star tracker; Computer science; Aerospace engineering; Artificial intelligence; Engineering; Physics; Eye tracking; Astrophysics; Spacecraft","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":[0.0001815602,0.0001994299,0.0002480868,0.00003776884,0.0003339076,0.0001659059,0.0001007919,0.0000690386,0.00002346813],"category_scores_gemma":[0.00001726822,0.0001869546,0.00007150435,0.00008460869,0.0001501051,0.0002094556,0.00001382224,0.0001896103,0.000004366986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008115439,"about_ca_system_score_gemma":0.0001465156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005184572,"about_ca_topic_score_gemma":0.00001951111,"domain_scores_codex":[0.9989561,0.00001891045,0.0002871553,0.000336487,0.00010721,0.00029416],"domain_scores_gemma":[0.9990501,0.00009347541,0.0001591183,0.0001746358,0.0004297705,0.00009293952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001677648,0.0001030544,0.04038299,0.00008081045,0.0001997029,0.000001552923,0.001076664,0.00001982934,0.2302319,0.6650248,0.0003475147,0.06236339],"study_design_scores_gemma":[0.01931012,0.0005722964,0.1060455,0.001087461,0.0007476088,0.00001550944,0.004661021,0.151219,0.05020599,0.4929676,0.1701895,0.002978386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8305291,0.0001636232,0.1638626,0.0006543662,0.0002995792,0.0007165156,0.00009388847,0.00003920167,0.003641104],"genre_scores_gemma":[0.994499,0.000004018643,0.004542906,0.0001401096,0.0003117941,0.00004838152,0.00004630779,0.00002080986,0.0003867261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.180026,"threshold_uncertainty_score":0.7623786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009530082714640595,"score_gpt":0.2398285256826225,"score_spread":0.2302984429679819,"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."}}