{"id":"W2978813206","doi":"10.2514/6.2012-4839","title":"Rolling Shutter Compensation for Star Trackers","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Shutter; BitTorrent tracker; Computer science; Compensation (psychology); Star (game theory); Artificial intelligence; Eye tracking; Physics; Optics; Astrophysics; Psychology","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":[0.0003070371,0.0004309096,0.0005432144,0.000369603,0.0004228836,0.0005621971,0.000500067,0.0005788286,0.002648171],"category_scores_gemma":[0.001086622,0.000234961,0.0002299915,0.0005646682,0.0002050317,0.000548428,0.0004269384,0.000555579,0.0008696168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593189,"about_ca_system_score_gemma":0.0003330142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305149,"about_ca_topic_score_gemma":0.002099707,"domain_scores_codex":[0.9996636,0.00005412451,0.00001114327,0.00007493204,0.0001546905,0.0000414495],"domain_scores_gemma":[0.9997228,0.00004480649,0.00003869448,0.00005957434,0.0001193184,0.00001481973],"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":[0.001151942,0.00007216685,0.003663298,0.0002211496,0.00009195716,0.0002027632,0.0003414004,0.06770736,0.3001894,0.01413807,0.009223022,0.6029974],"study_design_scores_gemma":[0.00005822251,0.0003519383,0.00883862,0.00003848184,0.00007343567,0.0004924803,0.00008148434,0.8574765,0.1110783,0.004277819,0.01717064,0.00006213034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06922822,0.0008458717,0.9215025,0.0001493811,0.0002231947,0.00002262101,0.0001011418,0.001674139,0.006252817],"genre_scores_gemma":[0.8686898,0.0003685277,0.1220249,0.00008071643,0.00008638764,0.00002313906,0.000317094,0.0001953899,0.008214054],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002648171,"threshold_uncertainty_score":0.008859038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304277221838594,"score_gpt":0.2238989002370946,"score_spread":0.2108561280187086,"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."}}