{"id":"W4408019844","doi":"10.1016/j.ast.2025.110103","title":"Modeling impact of drones on flat plates","year":2025,"lang":"en","type":"article","venue":"Aerospace Science and Technology","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal; National Research Council Canada; University of Guelph","funders":"Defence Research and Development Canada; Transport Canada; Wichita State University","keywords":"Drone; Aerospace engineering; Structural engineering; Engineering; Aeronautics; Geometry; Physics; Computer science; Mathematics","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":[0.0001433137,0.0007481598,0.0004272252,0.0005806349,0.0004038985,0.000690248,0.001083342,0.001023114,0.002212944],"category_scores_gemma":[0.0004005966,0.0003925822,0.0004246907,0.0002253708,0.0006713379,0.0004587644,0.00063556,0.000384208,0.0004079186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006510905,"about_ca_system_score_gemma":0.0007925493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0262593,"about_ca_topic_score_gemma":0.01334459,"domain_scores_codex":[0.9998901,0.00001285325,0.000005120102,0.00002214407,0.00004395198,0.0000257888],"domain_scores_gemma":[0.9998379,0.00006322324,0.00003179446,0.00001561261,0.0000372952,0.00001414554],"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":[0.00002390614,0.00001799944,0.0008408668,0.00002866557,0.000007132852,0.0001792029,0.00003999476,0.9900433,0.006401377,0.0004667285,0.00005370967,0.001897196],"study_design_scores_gemma":[0.000003481592,0.00003955836,0.0006018897,0.000005078002,0.000003827214,0.00003013281,0.00003138756,0.9974969,0.001462771,0.0001427906,0.0001767154,0.000005397875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438557,0.0003423198,0.1265644,0.0001108265,0.00004886601,0.0002840917,0.0005547189,0.0004976783,0.02774135],"genre_scores_gemma":[0.9856236,0.0003027,0.007331593,0.00001988438,0.000006244457,0.00008719599,0.0001365157,0.00002448754,0.00646781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0262593,"threshold_uncertainty_score":0.05221289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172063673128389,"score_gpt":0.3052178477377275,"score_spread":0.2934972110064436,"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."}}