{"id":"W4317383352","doi":"10.1109/robio55434.2022.10011735","title":"Crashworthiness Design Optimization for an eVTOL Aircraft","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Crashworthiness; Takeoff; Cockpit; Landing gear; Automotive engineering; Engineering; Takeoff and landing; Range (aeronautics); Crash; Skid (aerodynamics); Aerospace engineering; Structural engineering; Computer science; Finite element method","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":[0.0003441776,0.0005957539,0.0003285088,0.0005237764,0.0001591262,0.0003986493,0.0002863699,0.0003714341,0.001389574],"category_scores_gemma":[0.0005884492,0.0002116098,0.0004690143,0.0001820766,0.0002212132,0.000172251,0.0003054325,0.0002407643,0.0001917526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125032,"about_ca_system_score_gemma":0.0003818468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881027,"about_ca_topic_score_gemma":0.001412335,"domain_scores_codex":[0.9998466,0.00003805459,0.000005952762,0.00002208469,0.00006080735,0.00002649996],"domain_scores_gemma":[0.9997968,0.00007811191,0.00003378369,0.00001287808,0.00006837555,0.00001002645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006497567,0.00003879238,0.001374184,0.00007495654,0.0000176,0.00005761792,0.00003118812,0.9577961,0.02650131,0.0009752111,0.0001460735,0.01292197],"study_design_scores_gemma":[0.000009771384,0.0004031623,0.002132031,0.00001175838,0.00002946504,0.00004202445,0.00004826065,0.9900782,0.005913966,0.0004317708,0.0008932565,0.000006312815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.563487,0.000404967,0.4215075,0.0001026371,0.00002089852,0.0000792394,0.0001238353,0.0001442795,0.01412967],"genre_scores_gemma":[0.9723728,0.0001724215,0.02494007,0.00001515663,0.000004404819,0.00008329622,0.00008138055,0.0000224466,0.002308013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001881027,"threshold_uncertainty_score":0.004648566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398453551118046,"score_gpt":0.2681282270274514,"score_spread":0.2241436915162709,"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."}}