{"id":"W4411171911","doi":"10.1109/lcsys.2025.3578470","title":"Attitude Estimation Using Scalar Measurements","year":2025,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de l'Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec","keywords":"Scalar (mathematics); Mathematics; Physics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004848202,0.0005157187,0.0005050496,0.0004418041,0.0002047262,0.0007475744,0.0004918545,0.0003718166,0.000763253],"category_scores_gemma":[0.002199034,0.0003095244,0.0003776223,0.0005235643,0.0004898434,0.001484436,0.000846905,0.0006125292,0.0003522193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039389,"about_ca_system_score_gemma":0.0003393338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140321,"about_ca_topic_score_gemma":0.0007934508,"domain_scores_codex":[0.9994854,0.0001245006,0.00002960147,0.0001429834,0.0001876041,0.00002988732],"domain_scores_gemma":[0.999463,0.0001847841,0.0001292873,0.00008849837,0.0001209419,0.00001351723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001734015,0.00003524713,0.002617262,0.0003728874,0.00007820359,0.0001733666,0.0001643122,0.5834639,0.0447959,0.05832596,0.001450091,0.3083495],"study_design_scores_gemma":[0.000009707439,0.0001050293,0.001037025,0.00002620461,0.0000157788,0.00005977264,0.00002444109,0.9799335,0.006332723,0.009102677,0.003328034,0.00002502384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007211206,0.0002329098,0.9914171,0.00003914059,0.0000465324,0.00000634158,0.00002565662,0.0001203926,0.000900797],"genre_scores_gemma":[0.8231818,0.00141784,0.1720843,0.0001009244,0.0002373687,0.0000577123,0.0002514023,0.00007485646,0.002593655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001140321,"threshold_uncertainty_score":0.002564013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166930983358709,"score_gpt":0.2377372916241696,"score_spread":0.2210441932882987,"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."}}