{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000259109,0.000164371,0.0002008033,0.00004970207,0.0001529064,0.00006712588,0.00007223421,0.00009964961,0.00001729828],"category_scores_gemma":[0.00002329745,0.0001653098,0.00004726398,0.0001043621,0.00004936501,0.0004200849,0.000004246182,0.0001003782,0.00001380726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004078655,"about_ca_system_score_gemma":0.00001509676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001931846,"about_ca_topic_score_gemma":0.000008739346,"domain_scores_codex":[0.9990824,0.00002936215,0.000311309,0.0001473004,0.0001185983,0.0003109747],"domain_scores_gemma":[0.9994386,0.0001010548,0.00005706673,0.0001219124,0.0001961989,0.00008520696],"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":[0.0007106949,0.0002083756,0.1456106,0.001209043,0.000664518,0.000002693185,0.008392039,0.0130342,0.5183784,0.1592456,0.005418067,0.1471257],"study_design_scores_gemma":[0.008095042,0.0001604338,0.2304152,0.0004138051,0.000313354,0.00001168391,0.0005428517,0.6685151,0.03816835,0.009304681,0.04285121,0.001208258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7889891,0.0008919378,0.2075772,0.0002112148,0.0005489193,0.0005302173,0.00003379639,0.0001832142,0.001034379],"genre_scores_gemma":[0.9982985,0.0000462472,0.0008773156,0.0002196475,0.0003045874,0.00008931451,0.00008272877,0.00002335137,0.00005834698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.655481,"threshold_uncertainty_score":0.6741139,"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."}}