{"id":"W4220996597","doi":"10.21203/rs.3.rs-1396713/v1","title":"A Physics-based Neural Network for Flight Dynamics Modelling and Simulation","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Ministère de la Défense Nationale","keywords":"Artificial neural network; Statistical physics; Computer science; Dynamics (music); Aerospace engineering; Physics; Artificial intelligence; Engineering","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":[0.0003997095,0.0003880152,0.0004951603,0.0003061704,0.0003838986,0.000540415,0.001019948,0.001100517,0.00256496],"category_scores_gemma":[0.001194433,0.0004227418,0.0004651763,0.0004373023,0.0003425277,0.0007555799,0.0006563584,0.0009613915,0.0005103559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556028,"about_ca_system_score_gemma":0.0006675838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752791,"about_ca_topic_score_gemma":0.01198744,"domain_scores_codex":[0.9998865,0.0000266797,0.000008299469,0.00003108583,0.00003220476,0.00001520201],"domain_scores_gemma":[0.9997186,0.0001525679,0.00001728559,0.00002444752,0.0000716517,0.00001545664],"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":[0.00002677057,0.00002090363,0.0001170488,0.00001708739,0.00001778835,0.00001346187,0.000006451849,0.9766892,0.0009386705,0.001404053,0.0002448661,0.02050366],"study_design_scores_gemma":[0.000001144736,0.000002190917,0.00001708961,6.078037e-7,0.000001069369,9.220241e-7,3.120112e-7,0.9995783,0.00006592728,0.0002935179,0.0000384385,5.743658e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03205162,0.0004182777,0.9627227,0.0002523797,0.000111965,0.0000451392,0.0001492656,0.0007081925,0.003540404],"genre_scores_gemma":[0.7904959,0.0004437039,0.2005882,0.0001381815,0.0001009491,0.0002182383,0.000344886,0.000116701,0.007553278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01752791,"threshold_uncertainty_score":0.03485179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452631846273692,"score_gpt":0.3515535236029364,"score_spread":0.2970272051401995,"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."}}