{"id":"W2011313653","doi":"10.1109/aero.2014.6836411","title":"Measurement weighting strategies for satellite attitude estimation","year":2014,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Weighting; Covariance; A-weighting; Computer science; Algorithm; Scalar (mathematics); Calibration; Mathematical optimization; Centroid; Mathematics; Statistics; Artificial intelligence","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":[0.0001625085,0.00005646445,0.00005298193,0.00001931521,0.00003661286,0.00003754113,0.00002725412,0.00002693657,0.000009099983],"category_scores_gemma":[0.00001544237,0.00004999496,0.00002167676,0.00003206128,0.000003834849,0.0001164635,0.000001983025,0.00002427795,0.00002188485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000333168,"about_ca_system_score_gemma":0.000003362395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001077516,"about_ca_topic_score_gemma":0.00003058292,"domain_scores_codex":[0.9996374,0.000005613728,0.0001031857,0.00005554442,0.0000999078,0.00009830461],"domain_scores_gemma":[0.999854,0.00001304373,0.000009628991,0.00005534725,0.00004975689,0.0000182348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001395418,0.00001675768,0.0002107597,0.0003519692,0.00004331789,1.54997e-7,0.0004329485,0.3895789,0.2192241,0.1021875,0.0004980989,0.2874416],"study_design_scores_gemma":[0.0002176634,0.00002780518,0.001390841,0.00003000267,0.00001177441,4.417271e-7,0.00004057617,0.9194331,0.06930555,0.004428553,0.00498477,0.0001289948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04496273,0.00008077122,0.9211039,0.00004007828,0.0001998862,0.0001414815,4.407306e-7,0.0003116763,0.03315904],"genre_scores_gemma":[0.9890068,0.000004290601,0.01081608,0.00001850456,0.0001043187,0.00001229054,0.00000655109,0.00001043859,0.00002069218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9440441,"threshold_uncertainty_score":0.2038735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743081343393691,"score_gpt":0.2284100934469332,"score_spread":0.2109792800129963,"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."}}