{"id":"W4396853591","doi":"10.1109/aero58975.2024.10521388","title":"Harsh Landing Ultimate Sensor Fusion","year":2024,"lang":"en","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Global Positioning System; Computer science; Sensor fusion; Avionics; Gyroscope; Runway; Kalman filter; Real-time computing; Engineering; Aerospace engineering; Artificial intelligence; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004968027,0.0008556275,0.0006402364,0.0003662794,0.0003549921,0.0008584628,0.0006933913,0.0006861531,0.001595728],"category_scores_gemma":[0.0007045195,0.0002284862,0.0004653186,0.0003914523,0.0003736693,0.001044963,0.001914732,0.0006987749,0.0006979347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002835715,"about_ca_system_score_gemma":0.0004734798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004354,"about_ca_topic_score_gemma":0.001669769,"domain_scores_codex":[0.999513,0.00005709735,0.00001871384,0.0001285632,0.000207502,0.00007503881],"domain_scores_gemma":[0.9997858,0.00003910768,0.00003087065,0.00004660266,0.00008262494,0.0000150351],"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":[0.0005756796,0.0001440861,0.004373572,0.0002904454,0.0001508603,0.0004364866,0.0002550659,0.5006075,0.1440143,0.009197114,0.003634067,0.3363209],"study_design_scores_gemma":[0.00003768049,0.0004131281,0.004989263,0.00003061387,0.00005126135,0.0002182054,0.0001429284,0.9242131,0.0539389,0.006772641,0.009131419,0.0000609038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06530886,0.0004064715,0.9270362,0.0001380192,0.0001601736,0.00005110749,0.0001987094,0.0009507608,0.005749657],"genre_scores_gemma":[0.8657514,0.0002886005,0.1283116,0.000148895,0.00005794027,0.00006838638,0.0005629378,0.00007985903,0.004730553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002004354,"threshold_uncertainty_score":0.005338252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006677418856088401,"score_gpt":0.197561144507974,"score_spread":0.1908837256518856,"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."}}