{"id":"W4256183790","doi":"10.32920/ryerson.14656725","title":"Nonlinear Estimation for Autonomous Optical Navigation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Extended Kalman filter; Orbit determination; Kalman filter; Computer science; Control theory (sociology); Estimator; Geosynchronous orbit; Particle filter; Orbit (dynamics); Mathematics; Artificial intelligence; Engineering; Aerospace engineering; Satellite; Global Positioning System; Statistics","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":[0.0003750463,0.0004416321,0.0002962903,0.0003203624,0.0002899852,0.0005409778,0.0002474156,0.000354557,0.00271654],"category_scores_gemma":[0.00133364,0.0001812926,0.0003527192,0.0003529936,0.0002638635,0.0005474318,0.0006166741,0.0005381702,0.0009143117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005395472,"about_ca_system_score_gemma":0.0008899876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006648157,"about_ca_topic_score_gemma":0.006143822,"domain_scores_codex":[0.999788,0.00004161424,0.000007103224,0.00003471014,0.0001104993,0.00001807243],"domain_scores_gemma":[0.9997303,0.0001018939,0.00003589099,0.0000317304,0.0000943824,0.00000586959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001012084,0.00005206649,0.001915081,0.000336733,0.0000577115,0.00005593265,0.0001190814,0.3460467,0.02133994,0.03149939,0.005324406,0.5931517],"study_design_scores_gemma":[0.00001478932,0.00009308149,0.001744607,0.0000678021,0.00002244105,0.0000534545,0.00004999671,0.9481018,0.007051548,0.01289938,0.02987309,0.00002798609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01896245,0.003346079,0.9593727,0.0005314359,0.0002035273,0.000070561,0.0001293932,0.0006487067,0.01673517],"genre_scores_gemma":[0.5732145,0.006065002,0.3905178,0.0002230293,0.0002502843,0.0002304069,0.0005547285,0.0001939237,0.02875023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006648157,"threshold_uncertainty_score":0.01321894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134055472513192,"score_gpt":0.2581441930914273,"score_spread":0.2447386458401081,"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."}}