{"id":"W3204383421","doi":"10.4271/01-15-01-0002","title":"Linearization of Aircraft Landing Equations of Motion with Airframe Flexibility Effects","year":2021,"lang":"en","type":"article","venue":"SAE International Journal of Aerospace","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Airframe; Flexibility (engineering); Aeronautics; Linearization; Aerospace engineering; Landing gear; Equations of motion; Motion (physics); Computer science; Engineering; Mathematics; Physics; Classical mechanics; Nonlinear system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002491354,0.0006101825,0.0003548642,0.0003573258,0.0002767655,0.0007064278,0.000582016,0.0006284111,0.004664496],"category_scores_gemma":[0.000545818,0.0003735999,0.0008304652,0.0002020368,0.0004190756,0.0007459778,0.0008290096,0.0009656014,0.001392364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005788358,"about_ca_system_score_gemma":0.0006339457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01498282,"about_ca_topic_score_gemma":0.008071358,"domain_scores_codex":[0.9998354,0.00003510314,0.000008551501,0.00002646108,0.00007444741,0.00001997438],"domain_scores_gemma":[0.999823,0.00004990271,0.00003658042,0.00002672419,0.0000570567,0.000006718458],"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":[0.00001953805,0.00002955635,0.0007647147,0.00007875261,0.00001978401,0.0001912529,0.000281555,0.9342995,0.01379839,0.03586144,0.001900982,0.01275449],"study_design_scores_gemma":[0.00000622535,0.00001593115,0.0002730009,0.000009644715,0.000004985307,0.00003220745,0.00003361482,0.99156,0.001698975,0.003683314,0.002671435,0.00001057297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06202353,0.0002636339,0.8936737,0.0004559445,0.00009172977,0.000121162,0.000458263,0.0008547053,0.04205727],"genre_scores_gemma":[0.868319,0.0006374343,0.05989265,0.0003515498,0.00005801216,0.0002831444,0.0006263611,0.0003305783,0.06950127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01498282,"threshold_uncertainty_score":0.02979124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005858741463946701,"score_gpt":0.2182005198152002,"score_spread":0.2123417783512535,"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."}}