{"id":"W1933952696","doi":"10.1109/pacrim.1991.160721","title":"An aircraft Kalman filter integrated navigation system prototype","year":2002,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Kalman filter; Computer science; Extended Kalman filter; Navigation system; Computer vision; 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":[0.00004484538,0.00009870077,0.00008175385,0.00003909572,0.00004022052,0.00003064475,0.00006411874,0.00007435167,0.0003616649],"category_scores_gemma":[0.00000233015,0.00008362908,0.00002446923,0.0001545743,0.000008181671,0.0002054773,0.00000259428,0.00009533239,0.0004304843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000693058,"about_ca_system_score_gemma":0.000001222182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006381394,"about_ca_topic_score_gemma":0.000007728213,"domain_scores_codex":[0.9994926,0.00001968128,0.0001528229,0.0001019946,0.000096321,0.0001365126],"domain_scores_gemma":[0.999735,0.000005427881,0.0000114735,0.0001482153,0.00004717874,0.00005273157],"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":[0.0001188598,0.0003472535,0.003506402,0.001626235,0.0001955441,0.0001429422,0.004956064,0.1050469,0.724313,0.01463068,0.02740224,0.1177139],"study_design_scores_gemma":[0.0001956606,0.00009443819,0.0004473812,0.00006768776,0.00000862279,0.00001757327,0.0001121536,0.9303568,0.06538673,0.00001403137,0.003114722,0.0001842134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467099,0.00004504649,0.01217518,0.00003088241,0.000366895,0.000600389,0.000006895742,0.001891747,0.03817304],"genre_scores_gemma":[0.998711,0.000001378043,0.0006880955,0.00001343779,0.0001171707,0.0000393788,0.00006737196,0.00002354576,0.0003386574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8253098,"threshold_uncertainty_score":0.5533149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147610072729874,"score_gpt":0.2106518102154079,"score_spread":0.1991757094881092,"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."}}