{"id":"W6910292737","doi":"10.4224/40001907","title":"Drone impact assessment on aircraft structure: windshield and leading edge testing and analysis","year":2020,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Windshield; Drone; Quadcopter; Crew; Airplane; Airworthiness; Aerospace; Flight test; Aerial survey","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000258581,0.0005075761,0.0002364817,0.001397055,0.0003040177,0.0004888211,0.000431556,0.0005689294,0.00275419],"category_scores_gemma":[0.0004775444,0.0002102047,0.000474151,0.0005219556,0.0002550495,0.0003677324,0.0004770115,0.0003045012,0.0005439097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098501,"about_ca_system_score_gemma":0.0001917101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004837998,"about_ca_topic_score_gemma":0.01036113,"domain_scores_codex":[0.9997041,0.0000144392,0.00001135862,0.00002941648,0.0002054325,0.00003532179],"domain_scores_gemma":[0.9996704,0.00006961579,0.00003692961,0.00003354641,0.0001651173,0.00002430417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001051228,0.0006019789,0.08843525,0.0006106864,0.00009544374,0.00172546,0.000729443,0.2285612,0.5422307,0.0008963292,0.001301638,0.1337606],"study_design_scores_gemma":[0.00005079468,0.003628509,0.3379088,0.0001632613,0.00009717526,0.001117988,0.001254261,0.4063339,0.2427298,0.0004976128,0.00612605,0.00009197912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794301,0.0002332336,0.01257314,0.00001744437,0.00001274309,0.0001440598,0.0006190604,0.0001306357,0.00683961],"genre_scores_gemma":[0.9911628,0.0002295049,0.004368416,0.00001311785,0.000002017626,0.000034404,0.0007480215,0.00002338482,0.003418414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004837998,"threshold_uncertainty_score":0.009619653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05338629232753433,"score_gpt":0.3542021368563635,"score_spread":0.3008158445288292,"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."}}